The development of information measures associated with fuzzy and intuitionistic fuzzy sets
is an important research area from the past few decades. Divergence and entropy are two …

The uncertainty measure of Atanassov's intuitionistic fuzzy sets (AIFSs) is important for
information discrimination under intuitionistic fuzzy environment. Although many entropy …

Entropy and distance are the most important information-theoretic measures. These
measures have found useful applications in different areas. In the present communication …

This study aims to introduce a series of novel distance measures of an intuitionistic fuzzy set
and an extended Multi-attributive Border Approximation Area Comparison method to …

This paper firstly reviews the existing divergence measures and presents some counter-
intuitive cases. To avoid the drawback of existing measures, a new divergence measure for …

Since introduced by K. Atanassov as a generalization of fuzzy sets, intuitionistic fuzzy sets
(IFSs) have been investigated by many researchers and applied in many different areas, eg …

In this paper, a new operator called the arithmetic interval‐valued intuitionistic fuzzy
Choquet aggregation (AIVIFCA) operator is defined. Since interactions between elements …

The intuitionistic fuzzy set is characterized by two functions expressing the degree of
membership and the degree of non-membership. It was proposed as a generalization of a …

In the present communication, we have proposed a new dissimilarity measure based on
Jensen inequality and α-norm divergence measure proposed by Boekee and Lubbe …

Entropy measure is an important topic in the fuzzy set theory and has been investigated by
many researchers from different points of view. In this paper, two new entropy measures …