In this paper, new entropy measures for hesitant fuzzy sets (HFSs) are proposed. Measuring
uncertainty for an HFS is computed by an amount of distinction between an HFS and its …

Typical hesitant fuzzy sets (THFSs), possessing a finite-set-valued fuzzy membership
degrees called typical hesitant fuzzy elements (THFEs), is a special kind of hesitant fuzzy …

The main purpose of this paper is to investigate the relationship between the entropy, the
similarity measure and the distance measure for hesitant fuzzy sets (HFSs) and interval …

Entropy is used to measure the uncertain degree of fuzzy sets and has been widely used in
many fields. This paper introduces an axiomatic definition of entropy measure and a novel …

Distance and similarity measures play a vital role to differentiate between two sets or
objects. Different distance and similarity measures had been proposed for hesitant fuzzy …

Hesitant fuzzy sets (HFSs) are beneficial tools for expressing the hesitancy of decision
makers (DMs) to access alternatives in daily life, thereby enabling the membership of an …

Hesitant fuzzy sets (HFSs) are becoming more and more popular in the fuzzy domain and
attract great attentions. As an important research orientation of HFSs, the correlation …

In fuzzy set (FS) theory, which is a generalization of classical set theory introduced by Zadeh
[1], distance, similarity and entropy measures have drawn the attention of many researchers …

Hesitant fuzzy set (HFS) is a powerful decision tool to express uncertain information more
flexibly and comprehensively. The aim of this paper is to propose more reasonable …

Intuitionistic hesitant fuzzy set (IHFS) provides a valid mean for dealing with the uncertainty
of complex problems. Information measures on IHFS can measure the uncertain information …