A novel multi-attribute decision-making approach based on T-spherical fuzzy Aczel Alsina Heronian mean operators
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/s41066-023-00442-6.pdf
Reference79 articles.
1. Abid MN, Yang M-S, Karamti H, Ullah K, Pamucar D (2022) Similarity measures based on T-spherical fuzzy information with applications to pattern recognition and decision making. Symmetry 14(2):410
2. Aczél J, Alsina C (1982) Characterizations of some classes of quasilinear functions with applications to triangular norms and to synthesizing judgments. Aequ Math 25(1):313–315
3. Ahmed D, Dai B (2021) Novel similarity measures and multi-expert TOPSIS method using picture m-polar fuzzy sets. J Intell Fuzzy Syst 40(5):9799–9814
4. Akram M, Bilal M (2023) Analytical solution of bipolar fuzzy heat equation using homotopy perturbation method. Granul Comput 8:1253–1266
5. Akram M, Martino A (2023) Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators. Granul Comput 8(1):171–207
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