Group decision-making method with Pythagorean fuzzy rough number for the evaluation of best design concept
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Science Applications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s41066-023-00391-0.pdf
Reference64 articles.
1. Akram M, Nawaz HS, Deveci M (2023) Attribute reduction and information granulation in Pythagorean fuzzy formal contexts. Expert Syst Appl 222:119794
2. Akram M, Zafar F (2018) Multi-criteria decision-making methods under soft rough fuzzy knowledge. J Intell Fuzzy Syst 35(3):3507–3528
3. Akram M, Zafar F (2019) A new approach to compute measures of connectivity in rough fuzzy network models. J Intell Fuzzy Syst 36(1):449–465
4. Akram M, Kahraman C, Zahid K (2021) Extension of TOPSIS model to the decision-making under complex spherical fuzzy information. Soft Comput 25:10771–10795
5. Akram M, Luqman A, Alcantud JCR (2021) Risk evaluation in failure modes and effects analysis: Hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information. Neural Comput Appl 33:5675–5703
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