Similarity measures on cubic intuitionistic fuzzy sets

The primary objective of this study is to develop a similarity measure on cubic intuitionistic fuzzy sets. First, we have proposed a series of similarity measures on cubic intuitionistic fuzzy sets based on the geometric model, set-theoretic approach, and matching function. Additionally, examples are provided to demonstrate the effectiveness and importance of the proposed similarity measures. These examples address the decision-making problems based on the technique for order preference by similarity to an ideal solution (TOPSIS) method.

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Publication Details

Journal
Notes on Intuitionistic Fuzzy Sets
Published
2025-03-01
DOI
https://doi.org/10.7546/nifs.2025.31.1.48-63
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
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article

Similarity measures on cubic intuitionistic fuzzy sets

M. Priyadharshini, D. Jayanthi
Notes on Intuitionistic Fuzzy Sets
Multi-Criteria Decision Making
article

Similarity measures on cubic intuitionistic fuzzy sets

M. Priyadharshini, D. Jayanthi
article en

Abstract

The primary objective of this study is to develop a similarity measure on cubic intuitionistic fuzzy sets. First, we have proposed a series of similarity measures on cubic intuitionistic fuzzy sets based on the geometric model, set-theoretic approach, and matching function. Additionally, examples are provided to demonstrate the effectiveness and importance of the proposed similarity measures. These examples address the decision-making problems based on the technique for order preference by similarity to an ideal solution (TOPSIS) method.

Notes on Intuitionistic Fuzzy SetsVol. 31(1)
Peace, Justice and strong institutions
Openalex Percentile: Top 96%
Multi-Criteria Decision Making
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Similarity measures on cubic intuitionistic fuzzy sets — M. Priyadharshini, D. Jayanthi · Notes on Intuitionistic Fuzzy Sets (2025) | TGRS Research Map | TGRS