T-Spherical fuzzy soft rough aggregation operators and their applications in multi-criteria group decision-making
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/s41066-023-00437-3.pdf
Reference65 articles.
1. Akram M, Martino A (2023) Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators. Granular Comput 8(1):171–207
2. Akram M, Shahzadi G (2021) A hybrid decision-making model under q-rung orthopair fuzzy Yager aggregation operators. Granular Comput 6:763–777
3. Akram M, Naz S, Feng F, Shafiq A (2023) Assessment of hydropower plants in Pakistan: muirhead mean-based 2-tuple linguistic t-spherical fuzzy model combining SWARA with COPRAS. Arab J Sci Eng 48(5):5859–5888
4. Akram M, Naz S, Santos-Garcıa G, Saeed MR (2023) Extended CODAS method for MAGDM with 2-tuple linguistic T-spherical fuzzy sets. AIMS Math 8(2):3428–3468
5. Ali MI, Feng F, Mahmood T, Mahmood I, Faizan H (2019) A graphical method for ranking Atanassov’s intuitionistic fuzzy values using the uncertainty index and entropy. Int J Intell Syst 34(10):2692–2712
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