Akram, M., Siddique, S. and Alcantud, J. C. R., Connectivity indices of m-polar fuzzy network model, with an application to a product manufacturing problem, Artificial Intelligence Review, 56 (8)(2023), 7795-7838. https://doi.org/10.1007/s10462-022-10360-9

Akram, M., Habib, A. and Deveci, M., Application of critical path method in ePropertWatch Plan using Gaussian Pythagorean fuzzy numbers, IEEE Transactions on Fuzzy systems, (2023), https://doi.org/10.1009/TFUZZ.2023.3321720.

Akram, M., Zahid, K. and Kahraman, C., Integrated outranking techniques based on spherical fuzzy information for the digitalization of transportation system, Applied Soft Computing, 134(2023), 109992. https://doi.org/10.1016/j.asoc.2023.109992

Akram, M., Nawaz, H. S. and Deveci, M., Attribute reduction and information granulation in Pythagorean fuzzy formal contexts, Expert Systems with Applications, 222(2023), 119794. https://doi.org/10.1016/j.eswa.2023.119794

Akram, M., Muhammad, G. and Allahviranloo, T., Explicit analytical solutions of an incommensurate system of fractional differential equations in a fuzzy environment, Information Sciences, 645(2023), 119372. https://doi.org/10.1016/j.ins.2023.119372

Akram, M., Bibi, R. and Deveci, M., An outranking approach with 2-tuple linguistic Fermatean fuzzy sets for multi-attribute group decision-making, Engineering Applications of Artificial Intelligence, 121(2023), 105992. https://doi.org/10.1016/j.engappai.2023.105992

Akram, M., Ali, G. and Alcantud, J. C. R., A novel group decision-making framework under Pythagorean fuzzy N-soft expert knowledge, Engineering Applications of Artificial Intelligence, 120(2023), 105879. https://doi.org/10.1016/j.engappai.2023.105879

Sarkar, A., Moslem, S., Esztergar-Kiss, D., Akram, M. and Senapati, T., A hybrid approach based on dual hesitant q-rung orthopair fuzzy frank power partitioned heronian mean aggregation operators for estimating sustainable urban transport solutions, Engineering Applications of Artificial Intelligence, 124(2023), 106505. https://doi.org/10.1016/j.engappai.2023.106505

Akram, M., Sultan, M. and Alcantud, J. C. R., An integrated ELECTRE method for selection of rehabilitation center with m-polar fuzzy N-soft information, Artificial Intelligence in Medicine, 135(2023), 102449. https://doi.org/10.1016/j.artmed.2022.102449

Akram, M., Ihsan, T. and Allahviranloo, T., Solving Pythagorean fuzzy fractional differential equations using Laplace transform, Granular Computing, 8 (3)(2023), 551-575. https://doi.org/10.1007/s41066-022-00344-z

Feng, F., Zhang, C., Akram, M. and Zhang, J., Multiple attribute decision making based on probabilistic generalized orthopair fuzzy sets, Granular Computing, 8 (4)(2023), 863- 891. https://doi.org/10.1007/s41066-022-00358-7

Akram, M., and Bibi, R., Multi-criteria group decision-making based on an integrated PROMETHEE approach with 2-tuple linguistic Fermatean fuzzy sets, Granular Computing, 8 (2023), 917-941. https://doi.org/10.1007/s41066-022-00359-6

Akram, M., Yousuf, M. and Bilal, M., Solution method for fifth order fuzzy initial value problem, Granular Computing, 8 (2023), 1229-1252. https://doi.org/10.1007/s41066-023-00403-z

Akram, M. and Ashraf, M., Multi-criteria group decision-making based on spherical fuzzy rough numbers, Granular Computing, 8 (2023), 1267-1298. https://doi.org/10.1007/s41066-023-00412-y

Akram, M., Yousuf, M. and Allahviranloo, T., Solution of the Pythagorean fuzzy wave equation with Pythagorean fuzzy Fourier sine transform, Granular Computing, 8 (2023), 1149-1171. https://doi.org/10.1007/s41066-023-00400-2

Akram, M., Shahzadi, S., Shah, S. M. U. and Allahviranloo, T., A fully Fermatean fuzzy multi-objective transportation model using and extended DEA technique, Granular Computing, 8 (2023), 1173-1204. https://doi.org/10.1007/s41066-023-00399-6

Akram, M. and Martino, A., Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators, Granular Computing, (2022), 8 (1)(2023), 171-207. https://doi.org/10.1007/s41066-022-00319-0

Akram, M., Muhammad, G. and Ahmad, D., Analytical solution of the Atangana-BaleanuCaputo fractional differential equations using Pythagorean fuzzy sets, Granular Computing, 8 (2023), 667-687. https://doi.org/10.1007/s41066-023-00364-3

Alcantud, J. C. R., Santos-García, G. and Akram, M., A novel methodology for multiagent decision-making based on N-soft sets, Soft Computing, (2023), https://doi.org/10.1007/s00500- 023-08522-0. https://doi.org/10.1007/s00500-023-08522-0

Akram, M., Shahzadi, S., Shah, S. M. U. and Allahviranloo, T., An extended multiobjective transportation model based on Fermatean fuzzy sets, Soft Computing, (2023), https://doi.org/10.1007/s00500-023-08117-9. https://doi.org/10.1007/s00500-023-08117-9

Adeel, A., Akram, M. and Cagman, N., Decision-making analysis based on hesitant fuzzy N-Soft ELECTRE-I approach, Soft Computing, 27(2023), 1971-1983. https://doi.org/10.1007/s00500-022-06981-5

Naz, S., Akram, M., Davvaz, B. and Saadat, A., A new decision-making framework for selecting the river crossing project under dual hesitant q-rung orthopair fuzzy 2-tuple linguistic environment, Soft Computing, 27 (17)(2023), 12021-12047. https://doi.org/10.1007/s00500-023-08739-z

Naz, S., Akram, M., Hassan, M. M. U. and Fatima, A., A hybrid DEMATEL-TOPSIS approach using 2-tuple linguistic q-rung orthopair fuzzy information and its application in renewable energy resource selection, International Journal of Information Technology & Decision Making, (2023), https://doi.org/10.1142/S0219622023500323.

Akram, M., Naz, S., Feng, F. and Shafiq, A., Assessment of hydropower plants in Pakistan: Muirhead mean-based 2-tuple linguistic T-spherical fuzzy model combining SWARA with COPRAS, Arabian Journal for Science and Engineering, 48 (5)(2023), 5859- 5888. https://doi.org/10.1007/s13369-022-07081-0

Akram, M., Sultan, M., Adeel, A. and Al-Shamiri, M. M. A., Pythagorean fuzzy N-soft PROMETHEE approach: A new framework for group decision making, AIMS Mathematics, 8 (8)(2023), 17354-17380. https://doi.org/10.3934/math.2023887

Akram, M., Shah, S. M. U., Al-Shamiri, M. M. A. and Edalatpanah, S. A., Extended DEA method for solving multi-objective transportation problem with Fermatean fuzzy sets, AIMS Mathematics, 8 (2023), 924-961. https://doi.org/10.3934/math.2023045

Ali, G. A., Sariera, T. M. A. A., Akram, M., Sulaiman, A. and Olayah, F., Detection and classification of hemorrhages in retinal images, Computer Systems Science and Engineering, 44 (2)(2023), 1601-1616. https://doi.org/10.32604/csse.2023.026119

Akram, M., Naz, S., Santos-Garcıa, G. and Saeed, M. Z., Extended CODAS method for MAGDM with 2-tuple linguistic T-spherical fuzzy sets, AIMS Mathematics, 8 (2)(2023), 3428-3468. https://doi.org/10.3934/math.2023176

Nawaz, H. S. and Akram, M., Granulation of protein-protein interaction networks in Pythagorean fuzzy soft environment, Journal of Applied Mathematics and Computing, 69 (1)(2023), 293-320. https://doi.org/10.1007/s12190-022-01749-4

Khan, A., Akram, M., Ahmad U. and Al-Shamiri, M. M. A., A new multi-objective optimization ratio analysis plus full multiplication form method for the selection of an appropriate mining method based on 2-tuple spherical fuzzy linguistic sets, Mathematical Biosciences and Engineering, 20 (1)(2023), 456-488. https://doi.org/10.3934/mbe.2023021

Akram, M., Zahid, K. and Kahraman, C., New optimization technique for group decision analysis with complex Pythagorean fuzzy sets, Journal of Intelligent and Fuzzy Systems, 44 (3)(2023), 3621-3645. https://doi.org/10.3233/jifs-220764

Sarwar, M. and Akram, M., Certain hybrid rough models with type-2 soft information, Journal of Multiple-Valued Logic & Soft Computing, 40(5-6)(2023), 433-467. https://www.researchgate.net/publication/372052224

Akram, M., Naz, S. and Abbas, T., Complex q-rung orthopair fuzzy 2-tuple linguistic group decision-making framework with Muirhead mean operators, Artificial Intelligence Review, 56(2023), 10227-10274. https://doi.org/10.1007/s10462-023-10408-4

Akram, M., Zahid, K. and Deveci, M., Multi-criteria group decision-making for optimal management of water supply with fuzzy ELECTRE-based outranking method, Applied Soft Computing, 143(2023), 110403. https://doi.org/10.1016/j.asoc.2023.110403

Akram, M., Nawaz, H. S. and Kahraman, C., Rough pythagorean fuzzy approximations with neighborhood systems and information granulation, Expert Systems with Applications, 218(2023), 119603. https://doi.org/10.1016/j.eswa.2023.119603

Akram, M., Noreen, U. and Deveci, M., Enhanced ELECTRE II method with 2-tuple linguistic m-polar fuzzy sets for multi-criteria group decision making, Expert Systems with Applications, 213(2023), 119237. https://doi.org/10.1016/j.eswa.2022.119237

Akram, M., Ramzan, N. and Deveci, M., Linguistic Pythagorean fuzzy CRITIC-EDAS method for multiple-attribute group decision analysis, Engineering Applications of Artificial Intelligence, 119(2023), 105777. https://doi.org/10.1016/j.engappai.2022.105777

Akram, M., Khan, A., Luqman, A., Senapati, T. and Pamucar, D., An extended MARCOS method for MCGDM under 2-tuple linguistic q-rung picture fuzzy environment, Engineering Applications of Artificial Intelligence, 120(2023), 105892. https://doi.org/10.1016/j.engappai.2023.105892

Akram, M., Ramzan, N. and Deveci, M., Linguistic Pythagorean fuzzy CRITIC-EDAS method for multiple-attribute group decision analysis, Engineering Applications of Artificial Intelligence, 119(2023), 105777. https://doi.org/10.1016/j.engappai.2022.105777

Akram, M., Zahid, K. and Kahraman, C., A PROMETHEE based outranking approach for the construction of Fangcang shelter hospital using spherical fuzzy sets, Artificial Intelligence in Medicine, 135(2023), 102456. https://doi.org/10.1007/s41066-023-00424-8

Akram, M. and Muhammad, G., Analysis of incommensurate multi-order fuzzy fractional differential equations under strongly generalized fuzzy Caputo’s differentiability, Granular Computing, 8 (4)(2023), 809-825. https://doi.org/10.1007/s41066-022-00353-y

Sarwar, M., Akram, M. and Shahzadi, S., Distance measures and δ-approximations with rogh complex fuzzy models, Granular Computing, 8 (2023), 893-916. https://doi.org/10.1007/s41066-023-00371-4

Akram, M., and Zahid, S., Group decision-making method with Pythagorean fuzzy rough number for the evaluation of best design concept, Granular Computing, 8 (2023), 1121- 1148. https://doi.org/10.1007/s41066-023-00391-0

Akram, M., and Ihsan, T., Solving Pythagorean fuzzy partial fractional diffusion model using the Laplace and Fourier transforms, Granular Computing, 8 (4)(2023), 689-707. https://doi.org/10.1007/s41066-022-00349-8

Akram, M. and Bilal, M., Analytical solution of bipolar fuzzy heat equation using homotopy perturbation method, Granular Computing, 8 (2023), 1253-1266. https://doi.org/10.1007/s41066-023-00415-9

Akram, M. and Zahid, K., Mukti-criteria group decision-making for energy production from municipal solid waste in Iran based on spherical fuzzy sets, Granular Computing, 8 (2023), 1299-1323. https://doi.org/10.1007/s41066-023-00419-5

Akram, M., Ullah, I. and Allahviranloo, T., An interactive method for the solution of fully Z-number linear programming models, Granular Computing, 8 (2023), 1205-1227. https://doi.org/10.1007/s41066-023-00402-0

Akram, M., Niaz, Z. and Feng, F., Extended CODAS method for multi-attribute group decision-making based on 2-tuple linguistic Fermatean fuzzy Hamacher aggregation operators, Granular Computing, 8 (3)(2023), 441-466. https://doi.org/10.1007/s41066-022-00332-3

Akram, M., Khan, A. and Ahmad, U., Extended MULTIMOORA method based on 2- tuple linguistic Pythagorean fuzzy sets for multi-attribute group decision-making, Granular Computing, 8 (2)(2023), 311-332. https://doi.org/10.1007/s41066-022-00330-5

Naz, S., Akram, M., Hassan, M. M. U. and Fatima, A., A hybrid DEMATEL-TOPSIS approach using 2-tuple linguistic q-rung orthopair fuzzy information and its application in renewable energy resource selection, International Journal of Information Technology & Decision Making, (2023), https://doi.org/10.1142/S0219622023500323

Akram, M., Shahzadi, G. and Davvaz, B., Decision-making model for internet finance soft power and sportswear brands based on sine-trigonometric Fermatean fuzzy information, Soft Computing, 27 (4)(2023), 1971-1983. https://doi.org/10.1007/s00500-022-07060-5

Akram, M., Shahzadi, S., Bibi, R. and Santos-Garcıa, G., An extended multi-objective transportation model based on Fermatean fuzzy sets, Soft Computing, (2023), https://doi.org/10.1007/s0050023-08158-0.

Naz, S., Akram, M. and Muzammal, M., Group decision-making based on 2-tuple linguistic T-spherical fuzzy COPRAS method, Soft Computing, 27(2023), 2873-2902. https://doi.org/10.1007/s00500-022-07644-1

Akram, M., Amjad, U., Alcantud, J. C. R. and Santos-Garcıa, G.,Complex Fermatean fuzzy N-soft sets: A new hybrid model with applications, Journal of Ambient Intelligence and Humanized Computing, 14 (7)(2023), 8765-8798. https://doi.org/10.1007/s12652-021-03629-4

Akram, M., Ali, G. and Alcantud, J. C. R., A new method of multi-attribute group decision making based on hesitant fuzzy soft expert information, Expert Systems, (2023), e13357. https://doi.org/10.1111/exsy.13357

Akram, M., Naz, S., Feng, F., Ali, G. and Shafiq, A., Extended MABAC method based on 2-tuple linguistic T-spherical fuzzy sets and Heronian mean operators: An application to alternative fuel selection, AIMS Mathematics, 8 (5)(2023), 10619-10653. https://doi.org/10.3934/math.2023539

Akram, M., Ramzan, N., Luqman, A. and Santos-Garcıa, G., An integrated MULTIMOORA method with 2-tuple linguistic Fermatean fuzzy sets: Urban quality of life selection problem, AIMS Mathematics, 8 (2)(2023), 2798-2828. https://doi.org/10.3934/math.2023147

Akram, M., Muhammad, G., Allahviranloo, T. and Ali, G., A solving method for twodimensional homogeneous system of fuzzy fractional differential equations, AIMS Mathematics, 8 (1)(2023), 228-263. https://doi.org/10.3934/math.2023011

Akram, M., Naz, S., Edalatpanah, S. A. and Samreen, S., A hybrid decision-making framework under 2-tuple linguistic complex q-rung orthopair fuzzy Hamy mean aggregation operators, Computational and Applied Mathematics, 42 (3)(2023), 118. https://doi.org/10.1007/s40314-023-02254-5

Sarwar, M., Zafar, F. and Akram, M., Novel group decision making approach based on the rough soft approximations of graphs and hypergraphs, Journal of Applied Mathematics and Computing, 69 (2023), 2795-2830. https://doi.org/10.1007/s12190-023-01855-x

Akram, M., Sultan, M., Alcantud, J. C. R. and Al-Shamiri, M. M. A., Extended fuzzy N-Soft PROMETHEE method and its application in robotbutler selection, Mathematical Biosciences and Engineering, 20 (2)(2023), 1774-1800. https://doi.org/10.3934/mbe.2023081

Abbasi, F., Allahviranloo, T. and Akram, M., A new framework for numerical techniques for fuzzy nonlinear equations, Axioms, 12 (2)(2023), 222. https://doi.org/10.3390/axioms12020222

Naz, S., Akram, M., Naseer, I., Saeid, A. B. and Fatima, A., 2-tuple linguistic q-rung orthopair fuzzy power MSM approach for choosing sustainable waste disposal technology, Scientia Iranica, (2023), https://doi.org/10.24200/sci.2023.60804.7006

Sarwar, M. and Akram, M., Certain hybrid rough models with type-2 soft information, Journal of Multiple-Valued Logic & Soft Computing, 40(5-6)(2023), 433-467. https://doi.org/10.1007/978-3-030-16020-3_6

Akram, M. and Nawaz, H. S., Implementation of single-valued neutrosophic soft hypergraphs on human nervous system, Artificial Intelligence Review, 56(2022), 1387-1425. https://doi.org/10.1007/s10462-022-10200-w

Akram, M., Ali, G., Alcantud, J. C. R. and Riaz, A., Group decision-making with Fermatean fuzzy soft expert knowledge, Artificial Intelligence Review, 55(2022), 5349- 5389. https://doi.org/10.1007/s10462-021-10119-8

Habib, A., Akram, M. and Kahraman, C., Minimum spanning tree hierarchical clustering algorithm: A new Pythagorean fuzzy similarity measure for the analysis of functional brain networks, Expert Systems with Applications, 201(2022), 117016.https://doi.org/10.1016/j.eswa.2022.117016

Akram, M., Habib, A. and Allahviranloo, T., A new maximal flow algorithm for solving optimization problems with linguistic capacities and flows, Information Sciences, 612(2022), 201-230.https://doi.org/10.1016/j.ins.2022.08.068

Akram, M., Shahzadi, S., Rasool, A. and Sarwar, M., Decision-making methods based on fuzzy soft competition hypergraphs, Complex & Intelligent Systems, 8 (3)(2022), 2325- 2348.https://doi.org/10.1007/s40747-022-00646-4

Akram, M., Zahid, K. and Alcantud, J. C. R., A new outranking method for multicriteria decision making with complex Pythagorean fuzzy information, Neural Computing and Applications, 34 (10)(2022), 8069-8102.https://doi.org/10.1007/s00521-021-06847-1

Akram, M., Ali, G. and Alcantud, J. C. R., Attributes reduction algorithms for mpolar fuzzy relation decision systems, International Journal of Approximate Reasoning, 140(2022), 232-254.https://doi.org/10.1016/j.ijar.2021.10.005

Akram, M., Ali, M. and Allahviranloo, T., A method for solving bipolar fuzzy complex linear systems with real and complex coefficients, Soft Computing, 26 (5)(2022), 2157- 2178. https://doi.org/10.1007/s00500-021-06672-7

Saleem, H., Riaz, F., Shaikh, A., Rajab, K., Rajab, A., Akram, M. and Al-Reshan, M. S.,Optimizing steeriing angle predictive convolutional neural network for autonomous car, Computers, Materials & Continua, 71 (2)(2022) 2285-2302. https://doi.org/10.32604/cmc.2022.022726

Akram, M., Ullah, I. and Allahviranloo, T., A new method for the solution of fully fuzzy linear programming models, Computational and Applied Mathematics, 41 (1)(2022), 1- 25. https://doi.org/10.1007/s40314-021-01756-4

Asad, M. M., Naz, A., Shaikh, A., Alrizq, M., Akram, M. and Alghamdi, A., Investigating the impact of loT-based smart laboratories on students’ academic performance in higher education, Universal Access in the Information Society, (2022), https://doi.org/10.1007/s10209-022-00944-1.

Naz, S., Akram, M., Saeid, A. B. and Saadat, A., Models for MAGDM with dual hesitant q-rung orthopair fuzzy 2-tuple linguistic MSM operators and their application to COVID-19 pandemic, Expert Systems, (2022), e13005. https://doi.org/10.1111/exsy.13005

Akram, M, Shah, S. M. U., Al-Shamiri, M. M. A. and Edalatpanah, S. A., Fractional transportation problem under interval-valued Fermatean fuzzy sets, AIMS Mathematics, 7 (9)(2022), 17327-17348. https://doi.org/10.3934/math.2022954

Akram, M, Muhammad, G., Allahviranloo, T. and Ali, G., New analysis of fuzzy fractional Langevin differential equations in Caputo’s derivative sense, AIMS Mathematics, 7 (10)(2022), 18467-18496. https://doi.org/10.3934/math.20221016

Naz, S., Akram, M., Al-Shamiri, M. M. A. and Saeed, M. R., Evaluation of network security service provider using 2-tuple linguistic complex q-rung orthopair fuzzy COPRAS method, Complexity, (2022), Article ID 4523287. https://doi.org/10.1155/2022/4523287

Akram, M., Ahmad, U., Rukhsar and Karaaslan, F., Complex Pythagorean fuzzy threshold graphs with application in petroleum replenishment, Journal of Applied Mathematics and Computing, 68 (3)(2022), 2125-2150. https://doi.org/10.1007/s12190-021-01604-y

Akram, M., Siddique, S. and Alharbi, M. G., Clustering algorithm with strength of connectedness for m-polar fuzzy network models, Mathematical Biosciences and Engineering, 19 (1)(2022), 420-455. https://doi.org/10.3934/mbe.2022021

Akram, M., Khan, A., Ahmad, U., Alcantud, J. C. R. and Al-Shamiri, M. M. A., A new group decision-making framework based on 2-tuple linguistic complex q-rung picture fuzzy sets, Mathematical Biosciences and Engineering, 19 (11)(2022), 11281-11323. https://doi.org/10.3934/mbe.2022526

Akram, M., Muhiuddin, G. and Santos-Garcia, G., An enhanced VIKOR method for multi-criteria group decision-making with complex Fermatean fuzzy sets, Mathematical Biosciences and Engineering, 19 (7)(2022), 7201-7231. https://doi.org/10.3934/mbe.2022340

Akram, M., Ullah, I. and Allahviranloo, T., A new method to solve linear programming problems in the environment of picture fuzzy sets, Iranian Journal of Fuzzy Systems, 19 (6)(2022), 29-49. https://doi.org/10.1007/s40314-021-01756-4

Akram, M, Noreen, U. and Al-Shamiri, M. M. A., Decision analysis approach based on 2-tuple linguistic m-polar fuzzy Hamacher aggregation operators, Discrete Dynamics in Nature and Society, (2022), Article ID 6269115. https://doi.org/10.1155/2022/6269115

Naz, S., Akram, M., Muhiuddin, G. and Shafiq, A., Modified EDAS method for MAGDM based on MSM operators with 2-tuple linguistic T-Spherical fuzzy sets, Mathematical Problems in Engineering, (2022), Article ID 5075998. https://doi.org/10.1155/2022/5075998

Naz, S., Akram, M., Muhiuddin, G. and Shafiq, A., Modified EDAS method for MAGDM based on MSM operators with 2-tuple linguistic T-Spherical fuzzy sets, Mathematical Problems in Engineering, (2022), Article ID 5075998. https://doi.org/10.1155/2022/5075998

Akram, M. and Sultan, M., Complex m-polar fuzzy N-soft model, Journal of MultipleValued Logic & Soft Computing, 39(2022), 251-276. https://doi.org/10.1155/2022/4917408

Akram, M. and Niaz, Z., 2-tuple linguistic Fermatean fuzzy decision-making method based on COCOSO with CRITIC for drip irrigation system analysis, Journal of Computational and Cognitive Engineering, (2022), https://doi.org/10.47852/bonviewJCCE2202356 https://doi.org/10.47852/bonviewjcce2202356

Akram, M., Shahzadi, G. and Alcantud, J. C. R., Multi-attribute decision-making with qrung picture fuzzy information, Granular Computing, 7(2022), 197-215 https://doi.org/10.1007/s41066-021-00260-8

Akram, M., Ahmad, U. and Rukhsar, Threshold graphs under picture Dombi fuzzy information, Granular Computing, 7 (3)(2022), 691-707. https://doi.org/10.1007/s41066-021-00291-1

Akram, M., Ali, G., Peng, X. and Ul Abidin, M. Z., Hybrid group decision-making technique under spherical fuzzy N-soft expert sets, Artificial Intelligence Review, 55(2022), 4117-4163. https://doi.org/10.1007/s10462-021-10103-2

Akram, M., Luqman, A. and Alcantud, J. C. R., An integrated ELECTRE-I approach for risk evaluation with hesitant Pythagorean fuzzy information, Expert Systems with Applications, 200(2022), 116945. https://doi.org/10.1016/j.eswa.2022.116945

Alcantud, J. C. R., Santos-Garcia, G. and Akram, M., OWA aggregation operators and multi-agent decisions with N-soft sets, Expert Systems with Applications, 203(2022), 117430. https://doi.org/10.1016/j.eswa.2022.117430

Zahid, K., Akram, M. and Kahraman, C., A new ELECTRE-based method for group decision-making with complex spherical fuzzy information, Knowledge-Based Systems, 243(2022), 108525. https://doi.org/10.1016/j.knosys.2022.108525

Akram, M. and Nawaz, H. S., Inter-specific competition among trees in Pythagorean fuzzy soft environment, Complex & Intelligent Systems, 8 (2)(2022), 863-884. https://doi.org/10.1007/s40747-021-00470-2

Nawaz, H. S., Akram, M. and Alcantud, J. C. R., An algorithm to compute the strength of competing interactions in the Bering Sea based on Pythagorean fuzzy hypergraphs, Neural Computing and Applications, 34 (2)(2022), 1099-1121. https://doi.org/10.1007/s00521-021-06414-8

Liu, P., Naz, S., Akram, M. and Muzammal, M., Group decision-making analysis based on linguistic q-rung orthopair fuzzy generalized point weighted aggregation operators, International Journal of Machine Learning and Cybernetics, 13 (4)(2022), 883-906. https://doi.org/10.1007/s13042-021-01425-2

Adeel, A., Akram, M. and Cagman, N., Decision-making analysis based on hesitant fuzzy N-soft ELECTRE-I approach, Soft Computing, 26 (2022), 118849-11863. https://doi.org/10.1007/s00500-022-06981-5

Akram, M., Muhammad, G., Allahviranloo, T. and Pedrycz, W., Solution of initialvalue problem for linear third-order fuzzy differential equations, Computational and Applied Mathematics, 41(2022), 398. https://doi.org/10.1007/s40314-022-02111-x

Akram, M., Saqib, M., Bashir, S. and Allahviranloo, T., An efficient numerical method for solving m-polar fuzzy initial value problems, Computational and Applied Mathematics, 41 (4)(2022), 157. https://doi.org/10.1007/s40314-022-01841-2

Akram, M., Noreen, U. and Pamucar, D., Extended PROMETHEE approach with 2-tuple linguistic m-polar fuzzy sets for selection of elliptical cardio machine, Expert Systems, 40 (3)(2022), e13178. https://doi.org/10.1111/exsy.13178

Akram, M, Noreen, U., Al-Shamiri, M. M. A. and Pamucar, D., Integrated decisionmaking methods based on 2-tuple linguistic m-polar fuzzy information, AIMS Mathematics, 7 (8)(2022), 14557-14594. https://doi.org/10.3934/math.2022802

Naz, S., Akram, M, Sattar A. and Al-Shamiri, M. M. A., 2-tuple linguistic q-rung orthopair fuzzy CODAS approach and its application in are welding robot selection, AIMS Mathematics, 7 (9)(2022), 17529-17569. https://doi.org/10.3934/math.2022966

Sulaiman, A., Sadiq, M., Mehmood, Y., Akram, M. and Ali, G. A., Fitness-based acceleration coefficients binary particle swarm optimization (FACBPSO) to solve the discounted knapsack problem, Symmetry, 14 (6)(2022), 1208. https://doi.org/10.3390/sym14061208

Hassan, M., Ali, S., Mahmood, K., Dhahbi, S., Akram, M., Zaman, S., Saeed, M. K. and Maray, M., Connectivity restoration by clustering for mobile sensor networks, Wireless Personal Communications, 124 (4)(2022), 3445-3459. https://doi.org/10.1007/s11277-022-09520-5

Akram, M and Nawaz, H. S., Algorithms for the computation of regular single-valued neutrosophic soft hypergraphs applied to supranational asian bodies, Journal of Applied Mathematics and Computing, 68(2022), 4479-4506. https://doi.org/10.1007/s12190-022-01714-1

Akram, M., Farooq, A., Shabir, M., Al-Shamiri, M. M. A. and Khalaf, M. M., Group decision-making analysis with complex spherical fuzzy N-soft sets, Mathematical Biosciences and Engineering, 19 (5)(2022), 4991-5030. https://doi.org/10.3934/mbe.2022234

Naz, S., Akram, M., Al-Shamiri, M. M. A., Khalaf, M. M. and Yousaf, G., A new MAGDM method with 2-tuple linguistic bipolar fuzzy Heronian mean operators, Mathematical Biosciences and Engineering, 19(2022), 3843-3878. https://doi.org/10.3934/mbe.2022177

Akram, M., Ihsan, T., Allahviranloo, T. and Al-Shamiri, M. M. A., Analysis on determining the solution of fourth-order fuzzy initial value problem with Laplace operator, Mathematical Biosciences and Engineering, 19 (2022), 11868-11902. https://doi.org/10.3934/mbe.2022554

Akram, M, Ramzan, N. and Feng, F., Extending COPRAS method with linguistic Fermatean fuzzy sets and Hamy mean operators, Journal of Mathematics, (2022), Article ID 8239263. https://doi.org/10.1155/2022/8239263

Akram, M, Bibi, R. and Al-Shamiri M. M. A., A decision-making framework based on 2-tuple linguistic Fermatean fuzzy Hamy mean operators, Mathematical Problems in Engineering, (2022), Article ID 1501880. https://doi.org/10.1155/2022/1501880

Akram, M, Sultan, M. and Al-Kenani, A. N., Group decision analysis based on complex m-polar fuzzy N-soft environment, Mathematical Problems in Engineering, 2022(2022), Article ID 4917408. https://doi.org/10.1155/2022/4917408

Akram, M, Ahmad, U., Samanta, S. and Shabbir, R., Threshold graphs under Pythagorean fuzzy information, Journal of Multiple-Valued Logic & Soft Computing, 38(5-6)(2022), 547- 574. https://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-38-number-5-6-2022/mvlsc-38-5-6-p-547-574/

Feng, F., Zheng, Y., Sun, B. and Akram, M., Novel score functions of generalized orthopair fuzzy membership grades with application to multiple attribute decision making, Granular Computing, 7(2022), 95-111. https://doi.org/10.1007/s41066-021-00253-7

Akram, M., Sattar, A. and Saeid, A. B., Competition graphs with complex intuitionistic fuzzy information, Granular Computing, 7(2022), 25-47. https://doi.org/10.1007/s41066-020-00250-2

Akram, M. and Sitara, M., Decision-making with q-rung orthopair fuzzy graph structures, Granular Computing, 7 (7)(2022), 505-526. https://doi.org/10.1007/s41066-021-00281-3

Akram, M., Ali, G. and Alcantud, J. C. R., Parameter reduction analysis under intervalvalued m-polar fuzzy soft information, Artificial Intelligence Review, 54(2021), 5541- 5582. https://doi.org/10.1007/s10462-021-10027-x

Luqman, A., Akram, M. and Alcantud J. C. R., Digraph and matrix approach for risk evaluations under Pythagorean fuzzy information, Expert Systems with Applications, 170(2021), 114518. https://doi.org/10.1016/j.eswa.2020.114518

Akram, M., Kahraman, C. and Zahid, K., Group decision-making based on complex spherical fuzzy VIKOR approach, Knowledge-Based Systems, 216(2021), 106793.https://doi.org/10.1016/j.knosys.2021.106793

Akram, M., Habib, A. and Alcantud, J. C. R., An optimization study based on Dijkstra algorithm for a network with trapezoidal picture fuzzy numbers, Neural Computing & Applications, 33(2021), 1329-1342. https://doi.org/10.1007/s00521-020-05034-y

Ma, X., Akram, M., Zahid, K. and Alcantud, J. C. R., Group decision-making framework using complex Pythagorean fuzzy information, Neural Computing and Applications, 33 (6)(2021), 2085-2105. https://doi.org/10.1007/s00521-020-05100-5

Akram, M., Luqman, A. and Alcantud, J. C. R., Risk evaluation in failure modes and effects analysis: Hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information, Neural Computing and Applications, 33(2021), 5675-5703. https://doi.org/10.1007/s00521-020-05350-3

Akram, M., Kahraman, C. and Zahid, K., Extension of TOPSIS model to the decisionmaking under complex spherical fuzzy information, Soft Computing, 25(2021), 10771- 10795. https://doi.org/10.1007/s00500-021-05945-5

Akram, M., Allahviranloo, T., Pedrycz, W. and Ali, M., Methods for solving LR-bipolar fuzzy linear systems, Soft Computing, 25 (1)(2021), 85-108. https://doi.org/10.1007/s00500-020-05460-z

Akram, M., Naz, S., Edalatpanah, S. A. and Mehreen, R., Group decision-making framework under linguistic q-rung orthopair fuzzy Einstein models, Soft Computing, 25(2021), 10309-10334. https://doi.org/10.1007/s00500-021-05771-9

Akram, M., Ullah, I., Allahviranloo, T. and Edalatpanah, S. A., Fully Pythagorean fuzzy linear programming problems with equality constraints, Computational and Applied Mathematics, 40 (4)(2021), 1-30. https://doi.org/10.1007/s40314-021-01503-9

Akram, M., Amjad, U. and Davvaz, B., Decision-making analysis based on bipolar fuzzy N-soft information, Computational and Applied Mathematics, 40(2021), 182. https://doi.org/10.1007/s40314-021-01570-y

Akram, M., Khan, A., Alcantud, J. C. R. and Santos-Garcia, G., A hybrid decision-making framework under complex spherical fuzzy prioritized weighted aggregation operators, Expert Systems, 38 (6)(2021), 12712.https://doi.org/10.1111/exsy.12712

Akram, M., Peng, X. and Sattar, A., Multi-criteria decision-making model using complex Pythagorean fuzzy Yager aggregation operators, Arabian Journal for Science and Engineering, 46 (2)(2021), 1691-1717. https://doi.org/10.1007/s13369-020-04864-1

Al-Hawary, T. A., Al-Shalaldeh S. H. and Akram, M., Certain matrices and energies of fuzzy graphs, TWMS Journal of Applied and Engineering Mathematics, 11 (3)(2021), 1-17. http://dx.doi.org/10.30546/2219-1259.14.1.2023.50

Akram, M., Wasim, F. and Al-Kenani, A. N., A hybrid decision-making approach under complex Pythagorean fuzzy N-soft sets, International Journal of Computational Intelligence Systems, 14(1)(2021), 1263-1291. https://doi.org/10.2991/ijcis.d.210331.002

Sitara, M., Akram, M. and Riaz, M., Decision-making analysis based on q-rung picture fuzzy graph structures, Journal of Applied Mathematics and Computing, 67(2021), 541- 577. https://doi.org/10.1007/s12190-020-01471-z

Akram, M., Al-Kenani, A. N. and Luqman, A., Degree based models of granular computing under fuzzy indiscernibility relations, Mathematical Biosciences and Engineering, 18 (6)(2021), 8415-8443.https://doi.org/10.3934/mbe.2021417

Akram, M. and Shumaiza, Multi-criteria decision making based on q-rung orthopair fuzzy PROMETHEE approach, Iranian Journal of Fuzzy Systems, 18 (5)(2021), 107- 127. https://doi.org/10.3233/jifs-202646

Akram, M., Ullah, I., Allahviranloo, T. and Edalatpanah, S. A., LR-type fully Pythagorean fuzzy linear programming problems with equality constraints, Journal of Intelligent and Fuzzy Systems, 41 (1)(2021), 1975-1992.https://doi.org/10.3233/jifs-210655

Akram, M., Alsulami, S., Karaaslan, F. and Khan, A., q-Rung orthopair fuzzy graphs under Hamacher operators, Journal of Intelligent and Fuzzy Systems, 40 (1)(2021), 1367- 1390.https://doi.org/10.3233/jifs-201700

Shahzadi, G. and Akram, M., Group decision-making for the selection of an antivirus mask under Fermatean fuzzy soft information, Journal of Intelligent and Fuzzy Systems, 40 (1)(2021), 1401-1416. https://doi.org/10.3233/jifs-201760

Saqib, M., Akram, M., Shahida, B. and Allahviranloo, T., Numerical solution of bipolar fuzzy initial value problem, Journal of Intelligent and Fuzzy Systems, 40 (1)(2021), 1309- 1341. https://doi.org/10.3233/jifs-201619

Akram, M., Shabir, M., Al-Kenani, A. N. and Alcantud, J. C. R., Hybrid decision-making frameworks under complex spherical fuzzy-soft sets, Journal of Mathematics, 3(2021), 1-46. https://doi.org/10.1155/2021/5563215

Akram, M., Ullah, I. and Alharbi, M. G., Methods for solving-type Pythagorean fuzzy linear programming problems with mixed constraints, Mathematical Problems in Engineering, 2021(2021). https://doi.org/10.1155/2021/4306058

Mehmood, M. A., Akram, M., Alharbi, M. G. and Bashir, S., Solution of fully bipolar fuzzy linear programming models, Mathematical Problems in Engineering, 2021(2021), Article ID 9961891.https://doi.org/10.1155/2021/9961891

Ali, G., Akram, M., Shahzadi, S. and Ul Abidin, M. Z., Group decision-making framework with bipolar soft expert sets, Journal of Multiple-Valued Logic & Soft Computing, 37(2021), 211-246. https://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-37-number-3-4-2021/mvlsc-37-3-4-p-211-246/

Siddique, S., Ahmad, U. and Akram, M., A decision-making analysis with generalized m-polar fuzzy graphs, Journal of Multiple-Valued Logic & Soft Computing, 37(2021), 409-436. https://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-37-number-3-4-2021/mvlsc-37-3-4-p-409-436

Hameed, S., Akram, M., Mustafa, N. and Samanta, S., Extension of threshold graphs under complex fuzzy environment, International Journal of Applied and Computational Mathematics, 7 (5)(2021), 1-19. https://doi.org/10.1007/s40819-021-01138-8

Akram, M. and Shahzadi, G., A hybrid decision-making model under q-rung orthopair fuzzy Yager aggregation operators, Granular Computing, 6 (4)(2021), 763-777. https://doi.org/10.1007/s41066-020-00229-z

Akram, M., Ali, G. and Shabir, M., A hybrid decision-making framework using rough mF bipolar soft environment, Granular Computing, 6 (3)(2021), 539-555. https://doi.org/10.1007/s41066-020-00214-6

Akram, M., Shabir, M. and Ashraf, A., Complex neutrosophic N-soft sets: A new model with applications, Neutrosophic Sets and Systems, 42(2021), 278-301. http://dx.doi.org/10.5281/zenodo.4711562

Akram, M. and Shahzadi, G., Decision-making approach based on Pythagorean Dombi fuzzy soft graphs, Granular Computing, 6(2021), 671-689. https://doi.org/10.1007/s41066-020-00224-4

Akram, M. and Shahzadi, G., A hybrid decision-making model under q-rung orthopair fuzzy Yager aggregation operators, Granular Computing, 6(2021), 763-777. (ESCI, Scopus) https://doi.org/10.1007/s41066-020-00229-z

Sarwar, M., Akram, M. and Liu, P., An integrated rough ELECTRE II approach for risk evaluation and effects analysis in automatic manufacturing process, Artificial Intelligence Review, 54(2021), 4449-4481.https://doi.org/10.1007/s10462-021-10003-5

Akram, M., Luqman, A. and Kahraman, C., Hesitant Pythagorean fuzzy ELECTRE-II method for multi-criteria decision-making problems, Applied Soft Computing, 108(2021), 107479. https://doi.org/10.1016/j.asoc.2021.107479

Akram, M., Sattar, A., Karaaslan, F. and Samanta, S., Extension of competition graphs under complex fuzzy environment, Complex & Intelligent Systems, 7(2021), 539-558. https://doi.org/10.1007/s40747-020-00217-5

Akram, M., Adeel, A., Al-Kenani, A. N. and Alcantud, J. C. R., Hesitant fuzzy Nsoft ELECTRE-II model: A new framework for decision-making, Neural Computing and Applications, 33 (13)(2021), 7505-7520.https://doi.org/10.1007/s00521-020-05498-y

Akram, M., Ali, G., Butt, M. A. and Alcantud, J. C. R., Novel MCGDM analysis under m-polar fuzzy soft expert sets, Neural Computing and Applications, 33(2021), 12051- 12071.https://doi.org/10.1007/s00521-021-05850-w

Akram, M., Ilyas, F. and Garg, H., ELECTRE-II method for group decision-making in Pythagorean fuzzy environment, Applied Intelligence, 51(2021), 8701-8719. https://doi.org/10.1007/s10489-021-02200-0

Sarwar, M., Akram, M., Shahzadi, S., Bipolar fuzzy soft information applied to hypergraphs, Soft Computing, 25 (5)(2021), 3417-3439.https://doi.org/10.1007/s00500-021-05610-x

Akram, M., Peng, X. and Sattar, A., A new decision-making model using complex intuitionistic fuzzy Hamacher aggregation operators, Soft Computing, 25 (10)(2021), 7059- 7086. https://doi.org/10.1007/s00500-021-05658-9

Akram, M., Bashir, A. and Edalatpanah, S. A., A hybrid decision-making analysis under complex q-rung picture fuzzy Einstein averaging operators, Computational and Applied Mathematics, 40 (8)(2021), 1-35. https://doi.org/10.1007/s40314-021-01651-y

Akram, M., Bashir, S. and Allahviranloo, T., A Runge-Kutta numerical method to approximate the solution of bipolar fuzzy initial value problems, Computational and Applied Mathematics, 40 (4)(2021), 1-43. http://dx.doi.org/10.1007/s40314-021-01535-1

Akram, M., Wasim, F. and Karaaslan, F., MCGDM with complex Pythagorean fuzzy-soft model, Expert Systems, 38 (8)(2021), 12783.https://doi.org/10.1111/exsy.12783

Akram, M., Ali, G., Alcantud, J. C. R. and Fatimah, F., Parameter reductions in Nsoft sets and their applications in decision-making, Expert Systems, 38 (1)(2021), 12601. https://doi.org/10.1111/exsy.12601

Akram, M., Ilyas, F. and Al-Kenani, A. N., Two-phase group decision-aiding system using ELECTRE III method in Pythagorean fuzzy environment, Arabian Journal for Science and Engineering, 46 (4)(2021), 3549-3566.https://doi.org/10.1007/s13369-020-05003-6

Akram, M., Al-Kenani, A. N. and Shabir, M., Enhancing ELECTRE I Method with Complex Spherical Fuzzy Information, International Journal of Computational Intelligence Systems, 14 (1)(2021), 1-31.https://doi.org/10.1007/s44196-021-00038-5

Nawaz, H. S. and Akram, M., Oligopolistic competition among the wireless internet service providers of Malaysia using fuzzy soft graphs, Journal of Applied Mathematics and Computing, 67(2021), 855-890. https://doi.org/10.1007/s12190-021-01514-z

Siddique, S., Ahmad, U. and Akram, M., A study on generalized graphs representations of complex neutrosophic information, Journal of Applied Mathematics and Computing, 65 (1)(2021), 481-514.https://doi.org/10.1007/s12190-020-01400-0

Akram, M., Wasim, F. and Al-Kenani, A. N., Complex q-rung orthopair fuzzy-soft sets: A new model with applications, Complexity, 2021(2021), Article ID 3690597. https://doi.org/10.1155/2021/3690597

Akram, M., Siddique, S. and Ahmad, U., Menger’s theorem for m-polar fuzzy graphs and application of m-polar fuzzy edges to road network, Journal of Intelligent and Fuzzy Systems, 41 (1)(2021), 1553-1574. https://doi.org/10.3233/jifs-210411

Akram, M., Shahzadi, G., Butt, M. A. and Karaaslan, F., A hybrid decision making method based on q-rung orthopair fuzzy soft information, Journal of Intelligent and Fuzzy Systems, 40(2021), 9815-9830. https://doi.org/10.3233/jifs-202336

Akram, M., Naz, S., Shahzadi, S. and Ziaa, F., Geometric-arithmetic energy and atom bond connectivity energy of dual hesitant q-rung orthopair fuzzy graphs, Journal of Intelligent and Fuzzy Systems, 40 (1)(2021), 1287-1307. https://doi.org/10.3233/jifs-201605

Liu, P., Akram, M. and Bashir, A., Extensions of power aggregation operators for decision making based on complex picture fuzzy knowledge, Journal of Intelligent and Fuzzy Systems, 40 (1)(2021), 1107-1128. https://doi.org/10.3233/jifs-201385

Akram, M. and Shumaiza, Multi-criteria decision-making methods based on q-rung picture fuzzy information, Journal of Intelligent and Fuzzy Systems, 40 (5)(2021), 10017- 10042. https://doi.org/10.3233/JIFS-202646

Akram, M., Shabir, M., Adeel, A. and Al-Kenani, A. N., A multiattribute decision-making framework: VIKOR method with complex spherical fuzzy-soft sets, Mathematical Problems in Engineering, 2021(2021). https://doi.org/10.1155/2021/1490807

Akram, M., Alsulami S. and Zahid, K., A hybrid method for complex Pythagorean fuzzy decision making, Mathematical Problems in Engineering, 2021(2021), Article ID 9915432. https://doi.org/10.1155/2021/9915432

Mehmood, M. A., Akram, M, Alharbi M. G. and Bashir, S., Optimization of LR-type fully bipolar fuzzy linear programming problems, Mathematical Problems in Engineering, 2021(2021), Article ID 1199336. https://doi.org/10.1155/2021/1199336

Akram, M., Khan, A. and Karaaslan, F., Complex spherical Dombi fuzzy aggregation operators for decision-making, Journal of Multiple-Valued Logic & Soft Computing, 37(2021), 503-531.https://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-37-number-5-6-2021/19868-2/

Hameed, S., Akram, M., Mustafa, N. and Karaaslan, F., Extension of threshold graphs under complex intuitionistic fuzzy environment, Journal of Multiple-Valued Logic & Soft Computing, 37(2021), 295-315. https://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-37-number-3-4-2021/mvlsc-37-3-4-p-295-315/

Akram, M., Shahzadi, G. and Peng, X., Extension of Einstein geometric operators to multi-attribute decision making under q-rung orthopair fuzzy information, Granular Computing, 6 (4)(2021), 779-795. https://doi.org/10.1007/s41066-020-00233-3

Akram, M., Spherical fuzzy K-algebras, Journal of Algebraic Hyperstructures and Logical Algebras, 2 (3)(2021), 85-98.https://doi.org/10.52547/hatef.jahla.2.3.7

Akram, M. and Bashir, A., Complex fuzzy ordered weighted quadratic averaging operators, Granular Computing, 6 (3)(2021), 523-538.https://doi.org/10.1007/s41066-020-00213-7

Akram, M. and Ali, G., Group decision-making approach under multi (Q, N)-soft multi granulation rough model, Granular Computing, 6 (2)(2021), 339-357https://doi.org/10.1007/s41066-019-00190-6

Akram, M., Shahzadi, G. and Peng, X.,Extension of Einstein geometric operators to multiattribute decision-making under q-rung orthopair fuzzy information, Granular Computing, 6(2021), 779-795. https://doi.org/10.1007/s41066-020-00233-3

Akram, M. and Khan, A., Complex Pythagorean Dombi fuzzy graphs for decision making, Granular Computing, 6(2021), 645-669. https://doi.org/10.1007/s41066-020-00223-5

Ali, G., Akram, M. and Alcantud, J. C. R., Attributes reductions of bipolar fuzzy relation decision systems, Neural Computing and Applications, 32(2020), 10051-10071. https://doi.org/10.1007/s00521-019-04536-8

Akram, M., Ilyas, F. and Garg, H., Multi-criteria group decision making based on ELECTRE I method in Pythagorean fuzzy information, Soft Computing, 24 (5)(2020), 3425- 3453. https://doi.org/10.1007/s00500-019-04105-0

Asif, M., Akram, M. and Ali, G., Pythagorean fuzzy matroids with application, Symmetry, 12(2020), 423.https://doi.org/10.3390/sym12030423

Akram, M., Khan, A. and Saeid, A. B., Complex Pythagorean Dombi fuzzy operators using aggregation operators and their decision-making, Expert Systems, 38(2020), e12626. https://doi.org/10.1111/exsy.12626

Shahzadi, G., Akram, M. and Al-Kenani, A. N., Decision making approach under Pythagorean fuzzy Yager weighted operators, Mathematics, 8 (1)(2020), 70. https://doi.org/10.3390/math8010070

Akram, M., Ali, M. and Allahviranloo, T., Certain methods to solve bipolar fuzzy linear system of equations, Computational and Applied Mathematics, 39(2020), 213. https://doi.org/10.1007/s40314-020-01256-x

Akram, M., Garg, H. and Zahid, K., Extensions of ELECTRE-I and TOPSIS methods for group decision-making under complex Pythagorean fuzzy environment, Iranian Journal of Fuzzy Systems, 17 (5)(2020), 147–164.https://doi.org/10.22111/ijfs.2020.5522

Koam, A. N. A., Akram, M., Muhammad, G. and Hussain, N., LU decomposition scheme for solving m-polar fuzzy system of linear equations, Mathematical Problems in Engineering, 2020 (2020), Article ID 8384593.https://doi.org/10.1155/2020/8384593

Koam, A. N. A., Akram, M. and Liu, P., Decision-making analysis based on fuzzy graph structures, Mathematical Problems in Engineering, 2020(2020), Article ID 6846257. https://doi.org/10.1155/2020/6846257

Shahzadi, S., Sawrar, M. and Akram, M., Decision-making approach with fuzzy type-2 soft graphs, Journal of Mathematics, 2020(2020), Article ID 8872446. https://doi.org/10.1155/2020/8872446

Akram, M., Sitara, M. and Saeid, A. B., Residue product of fuzzy graph structures, Journal of Multiple-Valued Logic and Soft Computing, 34 (3-4)(2020), 365-399. https://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-34-number-3-4-2020/mvlsc-34-3-4-p-365-399/

Akram, M. and Ali, G., Hybrid models for decision-making based on rough Pythagorean fuzzy bipolar soft information, Granular Computing, 5 (1)(2020), 1–5. https://doi.org/10.1007/s41066-018-0132-3

Siddique, S., Ahmad, U., Wardat, S., Akram, M. and Smarandache, F., Representation of competitions by complex neutrosophic information, Journal of Intelligent and Fuzzy Systems, 39 (5)(2020), 7881-7897. https://doi.org/10.3233/jifs-201338

Saqib, M., Akram, M. and Bashir, S., Certain efficient iterative methods for bipolar fuzzy system of linear equations, Journal of Intelligent & Fuzzy Systems, 39 (3)(2020), 3971-3985. https://doi.org/10.3233/jifs-200084

Liu, P., Akram, M. and Sattar, A., Extensions Of prioritized weighted aggregation operators for decision-making under complex q-rung orthopair fuzzy information, Journal of Intelligent and Fuzzy Systems, 39 (5)(2020), 7469-7493. https://doi.org/10.3233/jifs-200789

Adeel, A., Akram, M., Yaqoob, N. and Chammam, W., Detection and severity of tumor cells by graded decision-making methods under fuzzy N-soft model, Journal of Intelligent and Fuzzy Systems, 39 (1)(2020), 1303–1318. https://doi.org/10.3233/jifs-192203

Akram, M., Dudek, W. A., Habib, A. and Al-Kenani, A. N., Imperfect competition models in economic market structure with q-rung picture fuzzy information, Journal of Intelligent & Fuzzy Systems, 38 (4)(2020), 5107-5126.https://doi.org/10.3233/jifs-191726

Akram, M. and Sattar, A., Competition graphs under complex Pythagorean fuzzy information, Journal of Applied Mathematics and Computing, 63(2020), 543-583.https://doi.org/10.1007/s12190-020-01329-4

Shahzadi, G., Akram, M. and Davvaz, B., Pythagorean fuzzy soft graphs with applications, Journal of Intelligent & Fuzzy Systems, 38 (4)(2020), 4977-4991. https://doi.org/10.3233/jifs-191610

Hoseini, B. S., Akram, M., Hosseini, M. S., Rashmanlou, H. and Borzooei, R. A., Maximal product of graphs under vague environment, Mathematical and Computational Applications, 25 (1)(2020), 10.https://doi.org/10.3390/mca25010010

Akram, M., Dar, J. M. and Naz, S., Pythagorean Dombi fuzzy graphs, Complex & Intelligent Systems, 6(2020), 29–54.https://doi.org/10.1007/s40747-019-0109-0

Akram, M. and Luqman, A., Granulation of ecological networks under fuzzy soft environment, Soft Computing, 24(2020), 11867-11892. https://doi.org/10.1007/s00500-020-05083-4

Akram, M., Shumaiza, and Al-Kenani, A. N., Multi-criteria group decision-making for selection of green suppliers under bipolar fuzzy PROMETHEE process, Symmetry, 12(1)(2020), 77. https://doi.org/10.3390/sym12010077

Ali, G. and Akram, M., Decision-making method based on fuzzy N-soft expert sets, Arabian Journal for Science and Engineering, 45(2020), 10381-10400.https://doi.org/10.1007/s13369-020-04733-x

Akram, M., Shumaiza and Arshad, M., Bipolar fuzzy TOPSIS and bipolar fuzzy ELECTREI methods to diagnosis, Computational and Applied Mathematics, 39(2020), 1-21.https://doi.org/10.1007/s40314-019-0980-8

Akram, M., Bashir, A. and Garg, H., Decision-making model under complex picture fuzzy Hamacher aggregation operators, Computational and Applied Mathematics, 39 (3)(2020), 1–38. https://doi.org/10.1007/s40314-020-01251-2

Liu, P., Shahzadi, G. and Akram, M., Specific types of q-rung picture fuzzy Yager aggregation operators for decision-making, International Journal of Computational Intelligence Systems, 13 (1)(2020), 1072-1091. https://doi.org/10.2991/ijcis.d.200717.001

Garg, H., Shahzadi, G. and Akram, M., Decision-making analysis based on Fermatean fuzzy Yager aggregation operators with application in COVID-19 testing facility, Mathematical Problems in Engineering, 2020(2020), Article ID 7279027. https://doi.org/10.1155/2020/7279027

Akram, M., Shahzadi, G. and Ahmadini, A. A. H., Decision-making framework for an effective sanitizer to reduce COVID-19 under Fermatean fuzzy environment, Journal of Mathematics, 2020(2020), Article ID 3263407. https://doi.org/10.1155/2020/3263407

Akram, M., Yaqoob, N., Ali, G. and Chammam, W., Extensions of Dombi aggregation operators for decision-making under m-polar fuzzy information, Journal of Mathematics, 2020(2020), Article No. 4739567. https://doi.org/10.1155/2020/4739567

Akram, M., Alsulami S., Khan A. and Karaaslan F., Multi-criteria group decision-making using spherical fuzzy prioritized weighted aggregation operators, International Journal of Computational Intelligence Systems, 13 (1)(2020), 1429-1446.https://doi.org/10.2991/ijcis.d.200908.001

Akram, M., Luqman, A. and Al-Kenani, A. N., Certain models of granular computing based on rough fuzzy approximations, Journal of Intelligent and Fuzzy Systems, 39 (3)(2020), 2797–2816. https://doi.org/10.3233/jifs-191165

Akram, M., Muhammad, G., Allahviranloo, T. and Hussain, N., LU decomposition method to solve bipolar fuzzy linear systems, Journal of Intelligent and Fuzzy Systems, 39 (3)(2020), 3329-3349. https://doi.org/10.3233/jifs-201187

Akram, M., Peng, X., Al-Kenani, A. N. and Sattar, A., Prioritized weighted aggregation operators under complex Pythagorean fuzzy information, Journal of Intelligent & Fuzzy Systems, 39 (3)(2020), 4763-4783.https://doi.org/10.3233/jifs-200684

Akram, M and Adeel, A., Novel hybrid decision-making methods based on mF rough information, Granular Computing, 5(2020), 185–201. https://doi.org/10.1007/s41066-018-00142-6

Akram, M., Bashir, A. and Samanta, S., Complex Pythagorean fuzzy planar graphs, International Journal of Applied and Computational Mathematics, 6, (58)(2020). https://doi.org/10.1007/s40819-020-00817-2

Akram, M., Shumaiza and Alcantud, J. C. R., An m-polar fuzzy PROMETHEE approach for AHP-assisted group decision-making, Mathematical and Computational Applications, 25 (2)(2020), 26. https://doi.org/10.3390/mca25020026

Sarwar, M., Akram, M. and Ali, M., Double dominating energy of m-Polar fuzzy graphs, Journal of Intelligent & Fuzzy Systems, 38 (2)(2020), 1997-2008. https://doi.org/10.3233/jifs-190621

Akram, M., Naz, S. and Ziaa, F., Dual hesitant q-rung orthopair fuzzy Hamacher graphs with application, Journal of Multiple-Valued Logic & Soft Computing, 35(2020), 509-543. https://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-35-number-5-6-2020/mvlsc-35-5-6-p-509-543/

Akram, M., Saleem D. and Al-Hawary, T., Spherical fuzzy graphs with application to decision-making, Mathematical and Computational Applications, 25 (1)(2020), 8. https://doi.org/10.3390/mca25010008

Akram, M., Dudek, W. A. and Ilyas, F., Group decision making based on Pythagorean fuzzy TOPSIS method, International Journal of Intelligent Systems, 34(2019), 1455- 1475. https://doi.org/10.1002/int.22103

Akram, M., Adeel, A. and Alcantud, J. C. R., Group decision-making methods based on hesitant N-soft sets, Expert Systems with Applications, 115(2019), 95–105. https://doi.org/10.1016/j.eswa.2018.07.060

Akram, M., Waseem, N. and Liu, P., Novel approach in decision making with mpolar fuzzy ELECTRE-I, International Journal of Fuzzy Systems, 21 (4)(2019), 1117- 1129. https://doi.org/10.1007/s40815-019-00608-y

Akram, M., Dar, J. M. and Naz, S., Certain graphs under Pythagorean fuzzy environment, Complex & Intelligent Systems, 5 (2)(2019), 127-144. https://doi.org/10.1007/s40747-018-0089-5

Zhan, J., Akram, M. and Sitara, M., Novel decision-making method based on bipolar neutrosophic information, Soft Computing, 23(20)(2019), 9955-9977. https://doi.org/10.1007/s00500-018-3552-8

Adeel, A., Akram, M. and Koam, A. N. A., Multi-criteria decision-making under mHF ELECTRE-I and HmF ELECTRE-I, Energies, 12 (9)(2019), 1661. https://doi.org/10.3390/en12091661

Ali, G., Akram, M., Koam, A. N. A. and Alcantud, J. C. R., Parameter reductions of bipolar fuzzy soft sets with their decision-making algorithms, Symmetry, 11 (8)(2019), 949. https://doi.org/10.3390/sym11080949

Akram, M., Naz, S. and Smarandache, F., Generalization of maximizing deviation and TOPSIS method for MADM in simplified neutrosophic hesitant fuzzy environment, Symmetry, 11 (8)(2019), 1058.https://doi.org/10.3390/sym11081058

Shumaiza, Akram, M., Al-Kenani, A. N. and Alcantud, J. C. R., Group decision-making based on the VIKOR method with trapezoidal bipolar fuzzy information, Symmetry, 11 (10)(2019), 1313. https://www.mdpi.com/2073-8994/11/10/1313

Akram, M., Adeel, A. and Alcantud, J. C. R., Multi-criteria group decision-making using an m-polar hesitant fuzzy TOPSIS approach, Symmetry, 11 (6)(2019), 795. https://doi.org/10.3390/sym11060795

Adeel, A., Akram, M., Ahmed, I. and Nazar, K., Novel m-polar fuzzy linguistic ELECTREI method for group decision-making, Symmetry, 11 (4)(2019), 471. https://doi.org/10.3390/sym11040471

Luqman, A., Akram, M. and Davvaz, B., q-Rung orthopair fuzzy directed hypergraphs: A new model with applications, Journal of Intelligent & Fuzzy Systems, 37 (3)(2019), 3777-3794. https://doi.org/10.3233/jifs-190054

Akram, M., Muhammad, G. and Hussian, N., Bipolar fuzzy system of linear equations with polynomial parametric form, Journal of Intelligent & Fuzzy Systems, 37 (6)(2019), 8275-8287. https://doi.org/10.3233/jifs-190764

Akram, M., Ilyas F. and Saeid, A. B., Certain notions of Pythagorean fuzzy graphs, Journal of Intelligent and Fuzzy Systems, 36 (6)(2019), 5857-5874. https://doi.org/10.3233/jifs-181697

Akram, M. and Zafar, F., A new approach to compute measures of connectivity in rough fuzzy network models, Journal of Intelligent and Fuzzy Systems, 36 (1)(2019), 449-465. https://doi.org/10.3233/jifs-181751

Luqman, A., Akram, M. and Koam, A. N. A., Granulation of hypernetwork models under the q-rung picture fuzzy environment, Mathematics, 7 (6)(2019), 496. https://doi.org/10.3390/math7060496

Luqman, A., Akram, M. and Al-Kenani, A. N., q-Rung orthopair fuzzy hypergraphs with applications, Mathematics, 7 (3)(2019), 260. https://doi.org/10.3390/math7030260

Habib, A., Akram, M. and Farooq, M., q-Rung orthopair fuzzy competition graphs with application in the soil ecosystem, Mathematics, 7 (1)(2019), 91. https://doi.org/10.3390/math7010091

Naz, S. and Akram, M., Novel decision making approach based on hesitant fuzzy sets and graph theory, Computational and Applied Mathematics, 38 (7)(2019), 1-26. https://doi.org/10.1007/s40314-019-0773-0

Akram, M. and Habib, A. q-Rung picture fuzzy graphs: a creative view on regularity with applications, Journal of Applied Mathematics and Computing, 61 (1-2)(2019), 235- 280. https://doi.org/10.1007/s12190-019-01249-y

Akram, M. and Sitara, M., Certain fuzzy graph structures, Journal of Applied Mathematics and Computing, 61 (1-2)(2019), 25-56. https://doi.org/10.1007/s12190-019-01237-2

Akram, M., Habib, A. and Davvaz, B.,Direct sum of n Pythagorean fuzzy graphs with application to group decision-making, Journal of Multiple-Valued Logic and Soft Computing, 33 (1-2)(2019), 75-115. https://doi.org/10.1007/s40747-019-0106-3

Shahzadi, G. and Akram, M., Hypergraphs based on Pythagorean fuzzy soft model, Mathematical and Computational Applications, 24 (4)(2019), 100. https://doi.org/10.3390/mca24040100

Shumaiza, Akram, M. and Al-Kenani, A. N., Multiple-attribute decision making ELECTRE II method under bipolar fuzzy model, Algorithms, 12 (11)(2019), 226. https://doi.org/10.3390/a12110226

Akram, M., Ishfaq, N., Smarandache, F. and Broumi, S., Application of bipolar neutrosophic sets to incidence graphs, Neutrosophic Sets and Systems, 27(2019), 180-200. https://doi.org/10.3390/axioms7040083

Akram, M., Gulzar, H. and Shum, K. P., Certain notions of single-valued neutrosophic K-algebras, Italian Journal of Pure and Applied Mathematics, 42(2019), 271-289. https://ijpam.uniud.it/online_issue/201942/25%20Akram-Gulzar-Shum.pdf

Akram, M., Gulzar, H. and Smarandache, F., Neutrosophic soft topological K-algebras, Neutrosophic Sets and Systems, 25(2019), 104-124. https://fs.unm.edu/NSS/NeutrosophicSoftTopologicalK-Algebras.pdf

Akram, M., Dudek, W. A. and Dar, J. M., Pythagorean Dombi fuzzy aggregation operators with application in multi-criteria decision-making, International Journal of Intelligent Systems, 34(2019), 3000-3019. https://doi.org/10.1002/int.22183

Akram, M. and Adeel, A., TOPSIS approach for MAGDM based on interval-valued hesitant fuzzy N-soft environment, International Journal of Fuzzy Systems, 21 (3)(2019), 993-1009. https://doi.org/10.1007/s40815-018-0585-1

Akram, M., Naz, S., and Davvaz, B., Simplified interval-valued Pythagorean fuzzy graphs with application, Complex & Intelligent Systems, 5 (2)(2019), 229-253. https://doi.org/10.1007/s40747-019-0106-3

Zhan, J., Malik, H. M. and Akram, M., Novel decision-making algorithms based on intuitionistic fuzzy rough environment, International Journal of Machine Learning and Cybernetics, 10(6)(2019), 1459-1485.https://doi.org/10.1007/s13042-018-0827-4

Akram, M., Ali, G. and Alcantud, J. C. R., New decision-making hybrid model: Intuitionistic fuzzy N-soft rough sets, Soft Computing, 23 (20)(2019), 9853-9868.https://doi.org/10.1007/s00500-019-03903-w

Waseem, N., Akram, M. and Alcantud, J. C. R., Multi-attribute decision-making based on m-polar fuzzy Hamacher aggregation operators, Symmetry, 11 (12)(2019), 1498. https://doi.org/10.3390/sym11121498

Adeel, A., Akram, M. and Koam, A. N. A., Group decision-making based on m-polar fuzzy linguistic TOPSIS method, Symmetry, 11 (6)(2019), 735.https://doi.org/10.3390/sym11060735

Luqman, A., Akram, M. and Koam, A. N. A., An m-polar fuzzy hypergraph model of granular computing, Symmetry, 11 (4)(2019), 483.https://doi.org/10.3390/sym11040483

Luqman, A., Akram, M., Al-Kenani, A. N. and Alcantud, J. C. R., A study on hypergraph representations of complex fuzzy information, Symmetry, 11 (11)(2019), 1381. https://doi.org/10.3390/sym11111381

Akram, M., Habib, A. and Koam, A. N. A., A novel description on edge-regular q-rung picture fuzzy graphs with application, Symmetry, 11 (4)(2019), 489.https://doi.org/10.3390/sym11040489

Akram, M., Saleem, D. and Allahviranloo, T., Linear system of equations in m-polar fuzzy environment, Journal of Intelligent & Fuzzy Systems, 37 (6)(2019), 8251-8266.https://doi.org/10.3233/jifs-190744

Akram, M. and Adeel, A., Novel TOPSIS method for group decision making based on hesitant m-polar fuzzy model, Journal of Intelligent & Fuzzy Systems, 37 (6)(2019), 8077- 8096. https://doi.org/10.3233/jifs-190551

Akram, M., Adeel, A. and Alcantud, J. C. R., Hesitant fuzzy N-soft sets: a new model with applications in decision-making, Journal of Intelligent & Fuzzy Systems, 36 (6)(2019), 6113-6127. https://doi.org/10.3233/jifs-181972

Akram, M., Ali, G. and Alcantud, J. C. R., Hybrid multi-attribute decision-making model based on (m, N)−soft rough sets, Journal of Intelligent and Fuzzy Systems, 36 (6)(2019), 6325-6342.https://doi.org/10.3233/jifs-182616

Akram, M., Muhammad, G., Koam, A. N. A. and Hussain, N., Iterative methods for solving a system of linear equations in a bipolar fuzzy environment, Mathematics, 7 (8)(2019), 728. https://doi.org/10.3390/math7080728

Sitara, M., Akram, M. and Bhatti, M. Y., Fuzzy graph structures with application, Mathematics, 7 (1)(2019), 63. https://doi.org/10.3390/math7010063

Rehman, A., Hussain, M., Farooq, A. and Akram, M., Consensus based multi-person decision making with incomplete fuzzy preference relations using product transitivity, Mathematics, 7 (2)(2019), 185.https://doi.org/10.3390/math7020185

Akram, M. and Arshad, M., A novel trapezoidal bipolar fuzzy TOPSIS method for group decision-making, Group Decision and Negotiation, 28(2019), 565-584.https://doi.org/10.1007/s10726-018-9606-6

Akram, M., Muhammad, G. and Allahviranloo, T., Bipolar fuzzy linear system of equations, Computational and Applied Mathematics, 38(2019), 69. https://doi.org/10.1007/s40314-019-0814-8

Akram, M., Saleem, D. and Davvaz, B., Energy of double dominating bipolar fuzzy graphs, Journal of Applied Mathematics and Computing, 61 (1-2)(2019), 219-234. https://doi.org/10.1007/s12190-019-01248-z

Habib, S. and Akram, M., Medical decision support systems based on fuzzy cognitive maps, International Journal of Biomathematics, 12 (6)(2019), 1950069. https://doi.org/10.1142/s1793524519500694

Akram, M., Dar, J. M. and Shahzadi, S., Decision making approach under Pythagorean Dombi fuzzy graphs for selection of leading textile industry, Mathematical and Computational Applications, 24 (4)(2019), 102. https://doi.org/10.3390/mca24040102

Luqman, A., Akram, M. and Smarandache, F., Complex neutrosophic hypergraphs: new social network models, Algorithms, 12 (11)(2019), 234.https://doi.org/10.3390/a12110234

Akram, M. and Naz, S., A novel decision-making approach under complex Pythagorean fuzzy environment, Mathematical and Computational Applications, 24 (3)(2019), 73. https://doi.org/10.3390/mca24030073

Akram, M. and Maham A., Ranking of trapezoidal bipolar fuzzy information system based on total ordering, Applied Mathematics E-Notes, 19(2019), 292-309. http://www.math.nsysu.edu.tw/~amen/2019/AMEN-180604.pdf

Akram, M. and Waseem, N., Similarity measures for new hybrid models: mF sets and mF soft sets, Punjab University Journal of Mathematics, 51 (6)(2019), 115-130. https://pu.edu.pk/images/journal/maths/PDF/Paper-8_51_6_2019.pdf

Akram, M., Gulzar, H. and Shum, K. P., Single-valued neutrosophic Lie algebras, Journal of Mathematical Research with Applications, 39 (2)(2019), 141-152.https://doi.org/10.1007/s11766-018-3541-9

Akram, M. and Shahzadi, S., Novel intuitionistic fuzzy soft multiple-attribute decisionmaking methods, Neural Computing and Applications, 29 (7)(2018), 435-447. https://doi.org/10.1007/s00521-016-2543-x

Alghamdi, M. A., Alshehri, N. O. and Akram, M., Multi-criteria decision-making methods in bipolar fuzzy environment, International Journal of Fuzzy Systems, 20 (6)(2018), 2057- 2064. https://doi.org/10.1007/s40815-018-0499-y

Akram, M., Maham, A. and Shumaiza, Fuzzy rough graph theory with applications, International Journal of Computational Intelligence Systems, 12(2018), 1875-6883. https://doi.org/10.2991/ijcis.2018.25905184

Alsager, K. M., Alshehri, N. O. and Akram, M., A decision-making approach based on multi q-hesitant fuzzy soft multi-granulation rough model, Symmetry, 10 (12)(2018), 711. https://doi.org/10.3390/sym10120711

Akram, M., Sarwar, M. and Borzooei, R. A., A novel decision-making approach based on hypergraphs in intuitionistic fuzzy environment, Journal of Intelligent & Fuzzy Systems, 35 (2)(2018), 1905-1922. https://doi.org/10.3233/jifs-171443

Akram, M., Ali, G., Waseem, N. and Davvaz, B., Decision-making methods based on hybrid mF models, Journal of Intelligent & Fuzzy Systems, 35 (3)(2018), 3387- 3403. https://doi.org/10.3233/jifs-172282

Sarwar, M. and Akram, M., Bipolar fuzzy circuits with applications, Journal of Intelligent and Fuzzy Systems, 34 (1)(2018), 547-558. https://doi.org/10.3233/jifs-17758

Akram, M., Feng, F., Saeid, A. B. and Fotea, V., A new multiple criteria decision-making method based on bipolar fuzzy soft graphs, Iranian Journal of Fuzzy Systems, 15 (4)(2018), 73-92. https://doi.org/10.1007/978-3-030-00045-5_7

Akram, M., Gulzar, H., Smarandache, F. and Broumi, S., Certain notions of neutrosophic topological K-algebras, Mathematics, 6 (11)(2018), 234. https://doi.org/10.3390/math6110234

Akram, M. and Shahzadi, G., Hypergraphs in m-polar fuzzy environment, Mathematics, 6 (2)(2018), 28. https://doi.org/10.3390/math6020028

Naz, S., Ashraf, S. and Akram, M., A novel approach to decision-making with Pythagorean fuzzy information, Mathematics, 6 (6)(2018), 95. https://doi.org/10.3390/math6060095

Malik, H. M., Akram, M. and Smarandache, F., Soft rough neutrosophic influence graphs with application, Mathematics, 6 (7)(2018), 125 https://doi.org/10.3390/math6070125

Akram, M. and Nasir, M., Shum, K. P. Novel applications of bipolar neutrosophic competition graphs, Applied Mathematics-A Journal of Chinese Universities, 33 (4)(2018), 436-467.https://link.springer.com/article/10.1007/s11766-018-3541-9

Rashid, S., Yaqoob, N., Akram, M. and Gulistan, M., Cubic graphs with application, International Journal of Analysis and Applications, 16 (5)(2018), 733-750. https://doi.org/10.28924/2291-8639-16-2018-733

Akram, M., Gulzar, H., Smarandache, F. and Broumi, S., Application of neutrosophic soft sets to K-Algebras, Axioms, 7 (4)(2018), 83 https://doi.org/10.3390/axioms7040083

Akram, M., Habib, A., Ilyas, F. and Dar, J. M., Specific types of Pythagorean fuzzy graphs and application to decision-making, Mathematical and Computational Applications, 23 (3)(2018), 42.https://doi.org/10.3390/mca23030042

Naz, S., Akram, M. and Smarandache, F., Certain notions of energy in single-valued neutrosophic graphs, Axioms, 7 (3)(2018), 50. https://doi.org/10.3390/axioms7030050

Akram, M., Siddique, S. and Shum, K. P., Certain properties of bipolar neutrosophic graphs, Southeast Asian Bulletin of Mathematics, 42 (4)(2018), 463-490. https://www.researchgate.net/publication/362376295

Akram, M. and Luqman, A., A new decision-making method based on bipolar neutrosophic directed hypergraphs, Journal of Applied Mathematics and Computing, 57(2018), 547-575. https://doi.org/10.1007/s12190-017-1121-4

Akram, M. and Sarwar, M., New applications of m-polar fuzzy competition graphs, New Mathematics and Natural Computation, 14 (2)(2018), 249-276.https://doi.org/10.1142/s1793005718500163

Akram, M. and Nasir, M., Certain bipolar neutrosophic competition graphs, Journal of the Indonesian Mathematical Society, 24 (1)(2018), 1-25. https://doi.org/10.22342/jims.24.1.455.1-25

Akram, M. and Waseem, N., Novel applications of bipolar fuzzy graphs to decision making problems, Journal of Applied Mathematics and Computing, 56 (1-2)(2018), 73-91. https://doi.org/10.1007/s12190-016-1062-3

Akram, M., Shahzadi, S. and Smarandache, F., Multi-attribute decision-making method based on neutrosophic soft rough information, Axioms, 7 (1)(2018), 19.https://doi.org/10.3390/axioms7010019

Akram, M., Malik, H. M., Shahzadi, S. and Smarandache, F., Neutrosophic soft rough graphs with application, Axioms, 7 (1)(2018), 14. https://doi.org/10.3390/axioms7010014

Akram, M. and Sarwar, M., Novel applications of m−polar fuzzy competition graphs in decision support system, Neural Computing and Applications, 30 (10)(2018), 3145- 3165. https://doi.org/10.1007/s00521-017-2894-y

Zafar, F. and Akram, M., A novel decision making method based on rough fuzzy information, International Journal of Fuzzy Systems, 20 (3)(2018), 1000-1014. https://doi.org/10.1007/s40815-017-0368-0

Sarwar M., Akram, M. and Alshehri, N. O., A new method to decision-making with fuzzy competition hypergraphs, Symmetry, 10 (9)(2018), 404. https://doi.org/10.3390/sym10090404

Akram, M., Adeel, A. and Alcantud, J. C. R., Fuzzy N-soft sets: A novel model with applications, Journal of Intelligent & Fuzzy Systems, 35 (4)(2018), 4757-4771. https://doi.org/10.3233/jifs-18244

Akram, M. and Zafar, F., Multi-criteria decision-making methods under soft rough fuzzy knowledge, Journal of Intelligent & Fuzzy Systems, 35 (3)(2018), 3507-3528. https://doi.org/10.3233/jifs-18017

Malik, H. M. and Akram, M., A new approach based on intuitionistic fuzzy rough graphs for decision-making, Journal of Intelligent and Fuzzy Systems, 34 (4)(2018), 2325-2342. https://doi.org/10.3233/jifs-171395

Akram, M., Shumaiza and Maham, A., A new approach based on fuzzy rough digraphs for decision-making, Journal of Intelligent & Fuzzy Systems, 35 (2)(2018), 2105- 2121. http://dx.doi.org/10.3233/JIFS-172069

Akram, M., Dar, J. M. and Farooq, A., Planar graphs under Pythagorean fuzzy environment, Mathematics, 6 (12)(2018), 278. https://doi.org/10.3390/math6120278

Sarwar, M. and Akram, M., Certain algorithms for modeling uncertain data using fuzzy tensor product Bezier surfaces, Mathematics, 6 (3)(2018), 42. https://doi.org/10.3390/math6030042

Ishfaq, N., Sayed, S., Akram, M. and Smarandache, F., Notions of rough neutrosophic digraphs, Mathematics, 6 (2)(2018), 18.https://doi.org/10.3390/math6020018

Akram, M. and Naz, S., Energy of Pythagorean fuzzy graphs with applications, Mathematics, 6 (8)(2018), 136.https://doi.org/10.3390/math6080136

Shaista, H. and Akram, M., Diagnostic methods and risk analysis based on fuzzy soft information, International Journal of Biomathematics, 11 (8)(2018), 1850096. https://doi.org/10.1142/s1793524518500961

Yaqoob, N. and Akram, M., Complex neutrosophic graphs, Bulletin of Computational Applied Mathematics, 6 (2)(2018), 85-109.https://www.researchgate.net/publication/332868114_Complex_neutrosophic_graphs

Sarwar, M., Akram, M. and Zafar, F., Decision making approach based on competition graphs and extended TOPSIS method under bipolar fuzzy environment, Mathematical and Computational Applications, 23 (4)(2018), 68.https://doi.org/10.3390/mca23040068

Akram, M., Level graphs of intuitionistic fuzzy graphs, Annals of Fuzzy Mathematics and Informatics, 16 (1)(2018), 55-70. https://doi.org/10.30948/afmi.2018.16.1.55

Akram, M., Ishfaq, N., Sayed, S. and Smarandache, F., Decision-making approach based on neutrosophic rough information, Algorithms, 11 (5)(2018), 59. https://doi.org/10.3390/a11050059

Akram, M., Sayed, S. and Smarandache, F., Neutrosophic incidence Graphs with application, Axioms, 7 (3)(2018), 47.https://doi.org/10.3390/axioms7030047

Akram, M, Shumaiza and Smarandache, F., Decision-making with bipolar neutrosophic TOPSIS and bipolar neutrosophic ELECTRE-I, Axioms, 7(2018), 33.https://doi.org/10.3390/axioms7020033

Akram, M., Siddique, S. and Davvaz, B., New Concepts in neutrosophic graphs with application, Journal of Applied Mathematics and Computing, 57 (12)(2018), 279-302. https://doi.org/10.1007/s12190-017-1106-3

Akram, M., Shahzadi, S. and Saeid, A. B., Single-valued neutrosophic hypergraphs, TWMS Journal of Applied and Engineering Mathematics, 8 (1)(2018), 122-135. https://doi.org/10.26837/jaem.377615

Akram, M. and Sitara, M., Novel applications of single-valued neutrosophic graph structures in decision-making, Journal of Applied Mathematics and Computing, 56 (1-2)(2018), 501–532. https://doi.org/10.1007/s12190-017-1084-5

Shahzadi, S. and Akram, M., Graphs in an intuitionistic fuzzy soft environment, Axioms, 7 (2)(2018), 20. https://doi.org/10.3390/axioms7020020

Sayed, S., Ishfaq, N., Akram, M. and Smarandache, F., Rough neutrosophic digraphs with application, Axioms, 7 (1)(2018), 5.https://doi.org/10.3390/axioms7010005

Akram, M. and Sitara, M., Interval-valued neutrosophic graph structures, Punjab University Journal of Mathematics, 50 (1)(2018), 35-58. https://fs.unm.edu/neut/IntervalValuedNeutrosophicGraph.pdf

Akram, M. and Sarwar, M., Novel applications of m−polar fuzzy hypergraphs, Journal of Intelligent and Fuzzy Systems, 32 (3)(2017), 2747-2762. https://doi.org/10.3233/jifs-16859

Akram, M. and Shahzadi, S., Neutrosophic soft graphs with application, Journal of Intelligent and Fuzzy Systems, 32 (1)(2017), 841-858. https://doi.org/10.3233/jifs-16090

Akram, M. and Luqman, A., Bipolar neutrosophic hypergraphs with applications, Journal of Intelligent and Fuzzy Systems, 33 (3)(2017), 1699-1713. https://doi.org/10.3233/jifs-17228

Akram, M., Waseem, N. and Dudek, W. A., Certain types of edge m−polar fuzzy graphs, Iranian Journal of Fuzzy Systems, 14 (4)(2017), 27-50. https://doi.org/10.22111/ijfs.2017.3324

Sarwar, M. and Akram, M., New applications of m-polar fuzzy matroids, Symmetry, 9 (12)(2017), 319. https://doi.org/10.3390/sym9120319

Akram, M., Waseem, N. and Davvaz, B., Certain types of domination in m−polar fuzzy graphs, Journal of Multiple-Valued Logic and Soft Computing, 29 (5)(2017), 619-646. https://www.researchgate.net/publication/315783468_
Certain_Types_of_Domination_in_m-polar_Fuzzy_Graphs

Karunambigai, M. G., Akram, M., Sivasankar, S. and Palanivel, K., Clustering algorithm for intuitionistic fuzzy graphs, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25 (3)(2017), 367-383. https://doi.org/10.1142/s0218488517500155

Shahzadi, S. and Akram, M., Intuitionistic fuzzy soft graphs with applications, Journal of Applied Mathematics and Computing, 55 (1-2)(2017), 369-392. https://doi.org/10.1007/s12190-016-1041-8

Sarwar, M. and Akram, M., Novel concepts of bipolar fuzzy competition graphs, Journal of Applied Mathematics and Computing, 54(2017), 511-547. https://doi.org/10.1007/s12190-016-1021-z

Akram, M. and Sitara, M., Single-valued neutrosophic graph structures, Applied Mathematics E-Notes, 17(2017), 277-296. https://doi.org/10.1007/s12190-017-1084-5

Akram, M. and Nasir, M., Certain competition graphs based on intuitionistic neutrosophic environment, Information, 8 (4)(2017), 132. https://doi.org/10.3390/info8040132

Sarwar, M. and Akram, M., Novel applications of m−polar fuzzy concept lattice, New Mathematics and Natural Computation, 13 (3)(2017), 196-222. https://doi.org/10.1142/s1793005717400105

Akram, M. and Nasir, M., Interval-valued neutrosophic competition graphs, Annals of Fuzzy Mathematics and Informatics, 14 (1)(2017), 99-120. https://doi.org/10.20454/ijas.2017.1235

Akram, M. and Sarwar, M., Novel multiple criteria decision making methods based on bipolar neutrosophic sets and bipolar neutrosophic graphs, Italian journal of Pure and Applied Mathematics, 38(2017), 368-389.https://ijpam.uniud.it/online_issue/201738/32-Akram-Sarwar-2.pdf

Akram, M. and Sitara, M., Representation of graph structure based on I-V neutrosophic sets, International Journal of Algebra and Statistics, 6 (1-2)(2017), 56-80.https://doi.org/10.20454/ijas.2017.1266

Akram, M. and Shahzadi, G., Certain characterization of m-polar fuzzy graphs by level graphs, Punjab University Journal of Mathematics, 49 (1)(2017), 1-12. https://pu.edu.pk/images/journal/maths/PDF/Paper-1_49_1_17.pdf

Akram, M. and Akmal, R., Intuitionistic fuzzy graph structures, Kragujevac Journal of Mathematics, 41 (2)(2017), 219-237. https://doi.org/10.5937/kgjmath1702219a

Akram, M. and Luqman, A., Certain concepts of bipolar fuzzy directed hypergraphs, Mathematics, 5 (1)(2017), 1-18. https://doi.org/10.3390/math5010017

Akram, M. and Nasir, M., Concepts of interval-valued neutrosophic graphs, International Journal of Algebra and Statistics, 6 (1-2)(2017), 22-41.https://doi.org/10.20454/ijas.2017.1235

Shaista, H., Akram, M. and Ashraf, A., A fuzzy climate decision support systems for tomatoes in high tunnels, International Journal of Fuzzy Systems, 19 (3)(2017), 751-775.https://doi.org/10.1007/s40815-016-0183-z

Akram, M. and Luqman, A., Certain network models using single-valued neutrosophic directed hypergraphs, Journal of Intelligent and Fuzzy Systems, 33 (1)(2017), 575-588. https://doi.org/10.3233/jifs-162347

Akram, M. and Sarwar, M., Transversals of m−polar fuzzy hypergraphs with applications, Journal of Intelligent and Fuzzy Systems, 33 (1)(2017), 351-364. https://doi.org/10.3233/jifs-161668

Akram, M. and Siddique, S., Neutrosophic competition graphs with applications, Journal of Intelligent and Fuzzy Systems, 33 (2)(2017), 921-935. https://doi.org/10.3233/jifs-162207

Akram, M., Ali, G. and Alshehri, N. O., A new multi-attribute decision-making method based on m-polar fuzzy soft rough sets, Symmetry, 9 (11)(2017), 271. https://doi.org/10.3390/sym9110271

Sarwar, M. and Akram, M., New applications of m-polar fuzzy matroids, Symmetry, 9 (12)(2017), 319. https://doi.org/10.3390/sym9120319

Sarwar, M. and Akram, M., Certain algorithms for computing strength of competition in bipolar fuzzy graphs, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25 (6)(2017), 877-896. https://doi.org/10.1142/s0218488517500374

Akram, M., Sitara, M. and Smarandache, F., Graph structures in bipolar neutrosophic environment, Mathematics, 5 (4)(2017), 60. https://doi.org/10.3390/math5040060

Akram, M. and Younas H. R., Certain types of irregular m−polar fuzzy graphs, Journal of Applied Mathematics and Computing, 53 (1)(2017), 365-382. https://doi.org/10.1007/s12190-015-0972-9

Akram, M. and Adeel, A., m-polar fuzzy graphs and m-polar fuzzy line graphs, Journal of Discrete Mathematical Sciences & Cryptography, 20 (8)(2017), 1597-1617. https://doi.org/10.1080/09720529.2015.1117221

Akram, M. and Sitara, M., Certain concepts in intuitionistic neutrosophic graph structures, Information, 8 (4)(2017), 154. https://doi.org/10.3390/info8040154

Akram, M. and Waseem, N., Novel decision making method based on domination in m−polar fuzzy graphs, Communications of the Korean Mathematical Society, 32 (4)(2017), 1077-1097. http://dx.doi.org/10.4134/CKMS.c160278

Akram, M. and Luqman, A., Intuitionistic single-valued neutrosophic hypergraphs, OPSEARCH, 54 (4)(2017), 799-815. https://doi.org/10.1007/s12597-017-0306-9

Akram, M. and Sarwar, M., Representation of graphs using m-polar fuzzy environment, Italian Journal of Pure and Applied Mathematics, 38(2017), 291-312. https://doi.org/10.3233/jifs-190621

Akram, M. and Tahir, M., Fuzzy soft lines graphs, The Journal of Fuzzy Mathematics, 25 (2)(2017), 403-422. https://www.researchgate.net/publication/311434577_Fuzzy_Soft_Line_Graphs

Shahzadi, G., Akram, M. and Saeid, A. B.,An application of single-valued neutrosophic sets in medical diagnosis, Neutrosophic Sets and Systems, 18(2017), 80-88. https://doi.org/10.26837/jaem.377615

Akram, M. and Shahzadi, G., Operations on single-valued neutrosophic graphs, Journal of Uncertain Systems, 11 (3)(2017), 176-196. https://doi.org/10.1007/978-981-13-3522-8_4

Akram, M. and Adeel, A., Representation of labeling tree based on m−polar fuzzy sets, Annals of Fuzzy Mathematics and Informatics, 13 (2)(2017), 189-197. https://doi.org/10.30948/afmi.2017.13.2.189

Nasir, M., Siddique, S. and Akram, M., Novel properties of intuitionistic fuzzy competition graphs, Journal of Uncertain Systems, 2 (1)(2017), 49-67.https://www.researchgate.net/publication/310124413_Novel_Properties_of_Intuitionistic_Fuzzy_Competition_Graphs

Akram, M. and Sitara, M., Bipolar neutrosophic graph structures, Journal of the Indonesian Mathematical Society, 23 (1)(2017), 55-76. https://doi.org/10.22342/jims.23.1.442.55-80

Akram, M., Samanta, S. and Pal, M., Application of bipolar sets in planar graphs, Journal of Applied and Computational Mathematics, 3(2017), 773-785. https://doi.org/10.1007/s40819-016-0132-4

Butt, M. A. and Akram, M., A novel fuzzy decision making system for cpu scheduling algorithm, Neural Computing & Applications, 27 (7)(2016), 1927-1939. https://doi.org/10.1007/s00521-015-1987-8

Gani, A. N., Akram, M. and Rajalaxmi(a)subahashini, D., Certain types of fuzzy sets in a fuzzy graph, International Journal of Machine Learning and Cybernetics, 7(2016), 573-579. https://doi.org/10.1007/s13042-014-0267-8

Sarwar M. and Akram, M., An algorithm for computing certain metrics in intuitionistic fuzzy graphs, Journal of Intelligent and Fuzzy Systems, 30(2016), 2405-2416. https://doi.org/10.3233/ifs-152009

Shahzadi, S. and Akram, M., Edge regular intuitionistic fuzzy soft graphs, Journal of Intelligent and Fuzzy Systems, 31 (3)(2016), 1881-1895. https://doi.org/10.3233/jifs-16120

Akram, M., Akmal, R. and Alshehri, N., On m−polar fuzzy graph structures, SpringerPlus, 5(2016), 1448. https://doi.org/10.1186/s40064-016-3066-8

Akram, M., Alshehri N. O., Davvaz, B. and Ashraf, A., Bipolar fuzzy digraphs in decision support systems, Journal of Multiple-Valued Logic and Soft Computing, 27 (5-6)(2016), 531-551. https://www.researchgate.net/publication/308334420_Bipolar_
Fuzzy_Digraphs_in_Decision_Support_Systems

Akram, M., Farooq, A. and Shum, K. P., On m−polar fuzzy Lie subalgebras, Italian Journal of Pure and Applied Mathematics, 36(2016), 445-454.https://ijpam.uniud.it/online_issue/201636/38-AkramFarookShum.pdf

Akram, M. and Akmal, R., Certain operations on bipolar fuzzy graph structures, Applications and Applied Mathematics, 11 (1)(2016), 1-26. https://doi.org/10.1155/2016/5859080

Akram, M. and Adeel, A., m−polar fuzzy labeling graphs with application, Mathematics in Computer Science, 10 (3)(2016), 387-402. https://doi.org/10.1007/s11786-016-0277-x

Shahzadi, S. and Akram, M., Coloring of bifuzzy graphs, Italian Journal of Pure and Applied Mathematics, 36(2016), 429-444. https://doi.org/10.1007/s12190-016-1041-8

Akram, M. and Akmal, R., Application of bipolar fuzzy sets in graph structures, Applied Computational Intelligence and Soft Computing, 6 (2)(2016), 1-13. https://doi.org/10.1155/2016/5859080

Gani, A.N., Akram, M. and Anupriya, S., Double domination on intuitionistic fuzzy graphs, Journal of Applied Mathematics and Computing, 52 (1-2)(2016), 515-528.https://doi.org/10.1007/s12190-015-0952-0

Myithili, K. K., Parvathi R. and Akram, M., Certain types of intuitionistic fuzzy directed hypergraphs, International Journal of Machine Learning and Cybernetics, 7 (2)(2016), 287-295. https://doi.org/10.1007/s13042-014-0253-1

Akram, M. and Nawaz, S., Fuzzy soft graphs with applications, Journal of Intelligent and Fuzzy Systems, 30 (6)(2016), 3619-3632. https://doi.org/10.3233/ifs-162107

Karunambigai, M. G., Akram, M. and Buvaneswari, R., Strong and superstrong vertices in intuitionistic fuzzy graphs, Journal of Intelligent and Fuzzy Systems, 30(2016), 671- 678. https://doi.org/10.3233/ifs-151786

Butt, M. A. and Akram, M., A new intuitionistic fuzzy rule-based decision-making system for an operating system process scheduler, SpringerPlus, 5(2016), 1-17. https://doi.org/10.1186/s40064-016-3216-z

Akram, M., Alshehri, N. and Akmal, R., Certain concepts in m−polar fuzzy graph structures, Discrete Dynamics in Nature and Society, 2016(2016), Article ID 6301693. https://doi.org/10.1155/2016/6301693

Akram, M. and Nawaz, S., Certain types of soft graphs, University Politehnica of Bucharest Scientific Bulletin-Series A, 78 (4)(2016), 67-82. https://www.scientificbulletin.upb.ro/rev_docs_arhiva/fullcc2_842873.pdf

Akram, M. and Zafar, F., Fuzzy soft trees, Southeast Asian Bulletin of Mathematics, 40 (2)(2016), 151-170. https://doi.org/10.1007/978-3-030-16020-3_4

Akram, M., Single-valued neutrosophic planar graphs, International Journal of Algebra and Statistics, 5 (2)(2016), 157-167. https://doi.org/10.20454/ijas.2016.1207

Akram, M. and Waseem, N., Certain metrics in m−polar fuzzy graphs, New Mathematics and Natural Computation, 12 (02)(2016), 135-155. https://doi.org/10.1142/s1793005716500101

Akram, M. and Shahzadi, S., Representation of graphs using intuitionistic neutrosophic soft sets, Journal of Mathematical Analysis, 7 (6)(2016), 31-53.https://www.researchgate.net/publication/310466355_Representation_of_Graphs_using_Intuitionistic_Neutrosophic_Soft_Sets

Akram, M. and Akmal, R., Operations on intuitionistic fuzzy graph structures, Fuzzy Information and Engineering, 8 (4)(2016), 389-410. https://doi.org/10.1016/j.fiae.2017.01.001

Akram, M., Farooq, A., Saeid A. B. and Shum, K. P., Certain types of vague cycles and vague trees, Journal of Intelligent and Fuzzy Systems, 28 (2)(2015), 621-631. https://doi.org/10.3233/ifs-141344

Alshehri, N. O. and Akram, M., Bipolar fuzzy competition graphs, Ars Combinatoria, 121(2015), 385-402. https://doi.org/10.1155/2013/156786

Akram, M. and Nawaz, S., Operations on soft graphs, Fuzzy Information and Engineering, 7 (4)(2015), 423-449. https://doi.org/10.1016/j.fiae.2015.11.003

Gani, A. N., Devi, K. P. and Akram, M., Bondage and non-bondage number of a fuzzy graph, International Journal of Pure and Applied Mathematics, 103 (2)(2015), 215-226. https://doi.org/10.12732/ijpam.v103i2.7

Akram, M. and Alshehri, N. O., Tempered interval-valued fuzzy hypergraphs, University Politehnica of Bucharest Scientific Bulletin-Series A, 77 (1)(2015), 39-48. https://www.researchgate.net/publication/279322641_Tempered_interval-valued_fuzzy_hypergraphs

Samanta, S., Akram, M. and Pal, M., m-Step fuzzy competition graphs, Journal of Applied Mathematics and Computing, 47 (1-2)(2015), 461-472. https://doi.org/10.1007/s12190-014-0785-2

Akram, M., Davvaz, B. and Feng, F., Fuzzy soft Lie algebras, Journal of Multiple-Valued Logic and Soft Computing, 24 (5-6)(2015), 501-520. https://www.researchgate.net/publication/279321980_Fuzzy_Soft_Lie_Algebras

Akram, M. and Zafar, F., On soft trees, Buletinul Academiei de Stiinte a Republicii Moldova, 2 (78)(2015), 82-95. https://www.math.md/files/basm/y2015-n2/y2015-n2-(pp82-95).pdf

Shaista, H. and Akram, M., Decision-making system for washing machine using AIFNN, Mathematical Sciences Letters, 4 (3)(2015), 303-311. http://dx.doi.org/10.12785/msl/040314

Akram, M. and Nawaz, S., On fuzzy soft graphs, Italian Journal of Pure and Applied Mathematics, 34(2015), 463-480. https://doi.org/10.1016/j.fiae.2015.11.003

Akram, M., Dudek, W. A. and Yousaf, M. M., Self centered interval-valued fuzzy graphs, Afrika Matematika, 26 (5-6)(2015), 887-898. https://doi.org/10.1007/s13370-014-0256-9

Feng, F., Akram, M., Davvaz, B. and Fotea, V. L., Attribute analysis of information systems based on elementary soft implications, Knowledge-Based Systems, 70(2014), 281- 292. https://doi.org/10.1016/j.knosys.2014.07.010

Akram, M, Chen, W. J. and Davvaz, B., On N -hypergraphs, Journal of Intelligent and Fuzzy Systems, 26(2014), 2937-2944. https://doi.org/10.3233/ifs-130959

Alshehri, N. O. and Akram, M., Intuitionistic fuzzy planar graphs, Discrete Dynamics in Nature and Society, 2014(2014), Article ID 397823. https://doi.org/10.1155/2014/397823

Akram, M., Karunambigai, M. G. and Kalaivani, O. K., Cayley intuitionistic fuzzy graphs, Journal of Applied Mathematics and Informatics, 32 (5-6)(2014), 827-842. https://doi.org/10.14317/jami.2014.827

Gani, A. N., Akram, M. and Rajalaxmi(a)Subahashini, D., Novel properties of fuzzy labeling graphs, Journal of Mathematics, 2014(2014), Article ID 375135. https://doi.org/10.1155/2014/375135

Shaista, H. and Akram, M., Neuro-fuzzy control for heater fans using ANFIS and NEFCON, Journal of Advanced Research in Scientific Computing, 6 (2)(2014), 6-16. https://scholar.google.com.hk/citations?view_op=view_citation&hl=ja&user=f6FPilhG5HAC&citation
_for_view=f6FPilhG5HAC:qjMakFHDy7sC

Ashraf, A., Akram, M. and Sarwar, S. M., Type-II fuzzy decision support system for fertilizer, Scientific World Journal, 2014(2014), Article ID 695815.https://doi.org/10.1155/2014/695815

Akram, M., Shaista, H. and Javed, I., Intuitionistic fuzzy logic control for washing machines, Indian Journal of Science and Technology, 7 (5)(2014), 654-661. https://dx.doi.org/10.17485/ijst/2014/v7i5.20

Akram, M., Alshehri, N. O., Shum, K. P. and Farooq, A., Application of bipolar fuzzy soft sets in K-algebras, Italian Journal of Pure and Applied Mathematics, 32 (1)(2014), 1-14. https://ijpam.uniud.it/online_issue/201432/50-AkramAlshereiShum.pdf

Akram, M., Gani, A. N. and Saeid, A. B., Vague hypergraphs, Journal of Intelligent and Fuzzy Systems, 26(2014), 647-653. https://doi.org/10.3233/ifs-120756

Ashraf, A., Akram, M. and Sarwar, S. M., Fuzzy decision support system for fertilizer, Neural Computing & Applications, 25 (6)(2014), 1495-1505. https://doi.org/10.1007/s00521-014-1639-4

Akram, M., Feng, F., Sarwar, S. and Jun, Y. B., Certain types of vague graphs, University Politehnica of Bucharest Scientific Bulletin-Series A, 76 (1)(2014), 141-154. https://www.scientificbulletin.upb.ro/rev_docs_arhiva/rezb9f_961326.pdf

Zhou, M., Shenggang, L. and Akram, M., Categorical properties of soft sets, Scientific World Journal, 2014(2014), Article ID 783056.https://doi.org/10.1155/2014/783056

Akram, M., Karunambigai, M. G., Palanivel, K. and Sivasankar, S., Balanced bipolar fuzzy graphs, Advanced Research in Pure Mathematics, 6 (4)(2014), 58-71. https://doi.org/10.1109/fuzz-ieee.2013.6622326

Akram, M., Ashraf, A. and Sarwar, S. M., Novel applications of intuitionistic fuzzy digraphs in decision support systems, Scientific World Journal, 2014(2014), Article ID 904606. https://doi.org/10.1155/2014/904606

Akram, M. and Alshehri, N. O., Intuitionistic fuzzy cycles and intuitionistic fuzzy trees, Scientific World Journal, 2014(2014), Article ID 305836. https://doi.org/10.1155/2014/305836

Akram, M., Dudek, W. A. and Yousaf, M. M., Regularity in vague intersection graphs and vague line graphs, Abstract and Applied Analysis, 2014(2014), Article ID 525389. https://doi.org/10.1155/2014/525389