Pessimistic multigranulation rough bipolar fuzzy set and their application in medical diagnosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-023-02389-5.pdf
Reference52 articles.
1. Al-shami TM (2022) (2, 1)-Fuzzy sets: properties, weighted aggregated operators and their applications to multi-criteria decision-making methods. Complex Intell Syst 1–19
2. Al-shami TM, Alcantud JCR, Mhemdi A (2023) New generalization of fuzzy soft sets:(a, b)-fuzzy soft sets. AIMS Math 8:2995–3025
3. Anwar MZ, Al-Kenani AN, Bashir S, Shabir M (2022) Pessimistic multigranulation rough set of intuitionistic fuzzy sets based on soft relations. Mathematics 10(5):685
4. Din J, Shabir M, Wang Y (2022) Pessimistic multigranulation roughness of a fuzzy set based on soft binary relations over dual universes and its application. Mathematics 10(4):541
5. Dou H, Yang X, Fan J, Xu S (2012) The models of variable precision multigranulation rough sets. In: International conference on rough sets and knowledge technology. Springer, Berlin, Heidelberg, pp 465–473
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1. A Systematic Analysis of EDAS Method and Power Aggregation Operators Based on Bipolar Complex Fuzzy Linguistic for Rural Energy Infrastructure Decision;IEEE Access;2024
2. A Comprehensive study on $ (\alpha, \beta) $-multi-granulation bipolar fuzzy rough sets under bipolar fuzzy preference relation;AIMS Mathematics;2023
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