Generalized Logarithmic Divergence Measure for Intuitionistic Fuzzy Matrix

For solving multi-criterion decision making problems, we in this paper propose a parametric generalized logarithmic divergence measure for intuitionistic fuzzy matrices. The validity of a symmetric divergence measure has been established for the proposed measure. Also, the properties (compliment, tr...

Full description

Saved in:
Bibliographic Details
Published in:Communications in Mathematics and Applications 2023-01, Vol.14 (2), p.575-590
Main Authors: Malik, S. C., Raj, Masum, Thakur, Rahul
Format: Article
Language:English
Subjects:
Boolean
Concavity
Decision making
Entropy
Fuzzy sets
Logarithms
Mathematical analysis
Mathematics
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:For solving multi-criterion decision making problems, we in this paper propose a parametric generalized logarithmic divergence measure for intuitionistic fuzzy matrices. The validity of a symmetric divergence measure has been established for the proposed measure. Also, the properties (compliment, transitivity, concavity and symmetricity) of this measure for intuitionistic fuzzy matrices are studied. Application of the proposed measure has been illustrated through a decision-making problem in trade market.
ISSN:0976-5905
0975-8607
DOI:10.26713/cma.v14i2.2211