Entropy Measures for Interval-Valued Intuitionistic Fuzzy Sets and Their Application in Group Decision-Making

Abstract EN

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 based on the cosine function are proposed for intuitionistic fuzzy sets and interval-valued intuitionistic fuzzy sets.

According to the features of the cosine function, the general forms of these two kinds of entropy measures are presented.

Compared with the existing ones, the proposed entropy measures can overcome some shortcomings and be used to measure both fuzziness and intuitionism of these two fuzzy sets; as a result, the uncertain information of which can be described more sufficiently.

These entropy measures have been applied to assess the experts’ weights and to solve multicriteria fuzzy group decision-making problems.