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, we propose a new similarity measure for Atanassov's intuitionistic fuzzy sets by
the relationship between entropy and similarity measure. With respect to multi-attribute …

Type 2 intuitionistic fuzzy set (T2IFS) is one of the most important concepts to describe fuzzy
information by providing an additional degree of freedom to the decision maker to decide the …

Intuitionistic fuzzy set, was introduced by Atanassov, has been applied to many different
fields, such as logic programming, pattern recognition, and decision making, etc. However …

Decision‐making under uncertainty is consistently an essential fear and the most
challenging circle of exploration. To manage the uncertainty, the intuitionistic fuzzy set (IFS) …

We first propose a series of similarity measures for intuitionistic fuzzy values (IFVs) based on
the intuitionistic fuzzy operators (Atanassov 1995). The parameters in the proposed similarity …

Among the most interesting measures in intuitionistic fuzzy sets (IFSs) theory, the similarity
measure is an essential tool to compare and determine degree of similarity between IFSs …

The intuitionistic fuzzy set introduced by Atanassov has greater ability in depicting and
handling uncertainty. Intuitionistic fuzzy measure is an important research area of …

The aim of this paper is to investigate intuitionistic fuzzy multiple attribute group decision
making problems where the attribute values provided by experts are expressed in …

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 …