Sr # | Description |
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1 | Luqman, Anam, and Gulfam Shahzadi. "Multi-attribute decision-making for electronic waste recycling using interval-valued Fermatean fuzzy Hamacher aggregation operators." Granular Computing (2023): 1-22. |
2 | Shahzadi, Gulfam, Anam Luqman, and Mohammed M. Ali Al-Shamiri. "The extended MOORA method based on Fermatean fuzzy information." Mathematical problems in engineering 2022 (2022). |
3 | Akram, Muhammad, Ayesha Khan, Anam Luqman, Tapan Senapati, and Dragan Pamucar. "An extended MARCOS method for MCGDM under 2-tuple linguistic q-rung picture fuzzy environment." Engineering Applications of Artificial Intelligence 120 (2023): 105892. |
4 | Muhammad Akram, Anam Luqman and Jose Carlus R. Alcantud, An integrated ELECTRE- I approach for risk evaluation with hesitant Pythagorean fuzzy information, Expert Sys- tems with Applications. 200 (2022), 116945. |
5 | Muhammad Akram, Anam Luqman and Cengiz Kahraman, Hesitant Pythagorean fuzzy ELECTRE-II method for multi-criteria decision making problems, Applied Soft Comput- ing. (2021), 107479. |
6 | Anam Luqman, Muhammad Akram and Jose Carlos R. Alcantud, Digraph and matrix approach for risk evaluations under Pythagorean fuzzy information, Expert Systems with Applications. 170 (2021) 114518. |
7 | Muhammad Akram, Anam Luqman and Jose Carlos R. Alcantud, Risk evaluation in fail- ure modes and effects analysis: Hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information, Neural Computing and Applications. (2020) DOI:10.1007/s00521-020- 05350-3. |
8 | Muhammad Akram and Anam Luqman, Granulation of ecological networks under fuzzy soft environment, Soft Computing. 24 (2020) 11867-11892. |
9 | Muhammad Akram, Anam Luqman and Ahmad N. Al-Kenani, Certain models of gran- ular computing based on rough fuzzy approximations, Journal of Intelligent and Fuzzy Systems. DOI: 10.3233/JIFS-191165 (2020) 1-20. |
10 | Anam Luqman, Muhammad Akram, Ahmad N. Al-Kenani and Jose Carlos R. Alcantud, A study on hypergraph representations of complex fuzzy information, Symmetry. 11 (2019) 1381. |
11 | Anam Luqman, Muhammad Akram and Ali N.A. Koam, An m-polar fuzzy hypergraph model of granular computing, Symmetry. 11 (2019) 483. |
12 | Anam Luqman, Muhammad Akram and Bijan Davvaz, q-Rung orthopair fuzzy directed hypergraphs: A new model with applications, Journal of Intelligent and Fuzzy Systems. 37 (2019) 3777-3794. |
13 | Anam Luqman, Muhammad Akram and Ali N.A. Koam, Granulation of hypernetwork models under the q-rung picture fuzzy environment, Mathematics. 7 (2019) 496. |
14 | Anam Luqman, Muhammad Akram and Ahmad N. Al-Kenani, q-Rung orthopair fuzzy hypergraphs with applications, Mathematics. 7 (2019) 260. |
15 | Anam Luqman, Muhammad Akram and Florentin Smarandache, Complex neutrosophic hypergraphs: New social network models, Algorithms. 12 (2019) 234. |
16 | Muhammad Akram and Anam Luqman, A new decision-making method based on bipolar neutrosophic directed hypergraphs, Journal of Applied Mathematics and Computing. 57(1- 2) (2018) 547-575. |
17 | Muhammad Akram and Anam Luqman, Bipolar neutrosophic hypergraphs with applica- tions, Journal of Intelligent and Fuzzy Systems. 33 (2017) 1699-1713. |
18 | Muhammad Akram and Anam Luqman, Certain networks models using single-valued neu- trosophic directed hypergraphs, Journal of Intelligent and Fuzzy Systems. 33 (2017) 575- 588. |
19 | Muhammad Akram and Anam Luqman, Certain Concepts of Bipolar Fuzzy Directed Hy- pergraphs, Mathematics. 5 (2017) 17. |
20 | Muhammad Akram and Anam Luqman, Intuitionistic single-valued neutrosophic hyper- graphs, OPSEARCH. 54 (2017) 799-815. |
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