Similarity measures for complex Fermatean fuzzy sets and their applications in decision-making and clustering problems

The quantification of similarity between fuzzy objects is central to decision-making and clustering under uncertainty. While numerous measures have been developed within Intuitionistic, Pythagorean, and Fermatean fuzzy frameworks, these approaches cannot be directly applied to Complex Fermatean Fuzz...

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Bibliografski detalji

Glavni autori:	Nisha Devi Gunasegaran, Hemavathi Perumal, Vinod Kumar Raja, Suresh Kandhasamy
Format:	Artigo
Jezik:	Inglês
Izdano:	Qom University of Technology 2026-05-01
Serija:	Mathematics and Computational Sciences
Teme:	complex fermatean fuzzy sets similarity measure decision-making clustering
Online pristup:	https://mcs.qut.ac.ir/article_735725_e460236d5a73d35a8940c436be925ddc.pdf
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