Multi-fuzzy set similarity measures using S and T operations

This paper introduces some similarity measures on multi-fuzzy set, enhancing multi-fuzzy set analysis through a weighting mechanism using S and T operations. Using a fuzzy matrix, we define a weighted relation, summarizing the characteristics of multi-fuzzy set M in relation to a weighted column matrix A. The relation A≤is established by comparing membership grades and weighted elements, expressing similarity or dissimilarity within elements of X.

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Publication Details

Journal
THE SCIENTIFIC TEMPER
Published
2024-08-23
DOI
https://doi.org/10.58414/scientifictemper.2024.15.3.14
Primary Topic
Fuzzy Logic and Control Systems
Type
article
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article

Multi-fuzzy set similarity measures using S and T operations

Sabu Sebastian, S Sangeeth, C H Haseena., R. Bijumon et al.
THE SCIENTIFIC TEMPER
Fuzzy Logic and Control Systems
article

Multi-fuzzy set similarity measures using S and T operations

Sabu Sebastian, S Sangeeth, C H Haseena., R. Bijumon, I. Gafoor, K. S. Shaju, Priyanka Priyanka
article en

Abstract

This paper introduces some similarity measures on multi-fuzzy set, enhancing multi-fuzzy set analysis through a weighting mechanism using S and T operations. Using a fuzzy matrix, we define a weighted relation, summarizing the characteristics of multi-fuzzy set M in relation to a weighted column matrix A. The relation A≤is established by comparing membership grades and weighted elements, expressing similarity or dissimilarity within elements of X.

THE SCIENTIFIC TEMPERVol. 15(03)
Mahatma Gandhi University (IN), Kerala Kalamandalam (IN), Institute of Medical Sciences (IN), Kannur University (IN)
Openalex Percentile: Top 85%
Fuzzy Logic and Control Systems
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Multi-fuzzy set similarity measures using S and T operations — Sabu Sebastian, S Sangeeth, et al. · THE SCIENTIFIC TEMPER (2024) | TGRS Research Map | TGRS