COCOSO Decision Method Based on(R,S)-Norm T-Spherical Fuzzy Entropy Measure
CHANG Yao
Abstract：Aiming at the decision problem in which the attribute weights are unknown or partially known and the evaluation values are T-Spherical fuzzy numbers,a COCOSO decision-making method based on a(R,S)-norm T-Spherical fuzzy new fuzzy entropy measure is proposed.Firstly,the(R,S)-norm T-Spherical fuzzy entropy formula is defined,and it is proved that it satisfies the four axiomatic criteria of T-Spherical fuzzy entropy.Secondly,based on the fuzzy entropy to calculate objective attribute weight,the COCOSO method is extended to the T-spherical fuzzy environment,the T-Spherical fuzzy COCOSO decision method is pro-posed.Finally,the influence of the change of parameters R and S on the decision result is analyzed,the feasibility and effectiveness of the decision-making method are illustrated by examples and comparative analysis.
Keywords：T-Spherical fuzzy sets(RS)-norm entropyCOCOSO
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：6( 3039-3044 )