Multi-attribute decision-making based on novel Fermatean fuzzy similarity measure and entropy measure
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/s41066-023-00378-x.pdf
Reference88 articles.
1. Akram M, Ali G (2020) Hybrid models for decision-making based on rough Pythagorean fuzzy bipolar soft information. Granul Comput 5:1–15. https://doi.org/10.1007/s41066-018-0132-3
2. Akram M, Bibi R (2023) Multi-criteria group decision-making based on an integrated PROMETHEE approach with 2-tuple linguistic Fermatean fuzzy sets. Granul Comput. https://doi.org/10.1007/s41066-022-00359-6
3. Akram M, Shahzadi G, Ahmadini AAH (2020) Decision-making framework for an effective sanitizer to reduce COVID-19 under Fermatean fuzzy environment. J Math 2020:1–19. https://doi.org/10.1155/2020/3263407
4. Akram M, Muhiuddin G, Santos-García G (2022) An enhanced VIKOR method for multi-criteria group decision-making with complex Fermatean fuzzy sets. Math Biosci Eng 19:7201–7231. https://doi.org/10.3934/mbe.2022340
5. Akram M, Khan A, Ahmad U (2023a) Extended MULTIMOORA method based on 2-tuple linguistic Pythagorean fuzzy sets for multi-attribute group decision-making. Granul Comput 8:311–332. https://doi.org/10.1007/s41066-022-00330-5
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