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 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 …

This contribution reviews critically the existing entropy measures for probabilistic hesitant
fuzzy sets (PHFSs), and demonstrates that these entropy measures fail to effectively …

The distance measures of hesitant fuzzy elements (HFEs) h 1 (x) and h 2 (x) introduced in
the literature only cover the divergence of the values, but fail to consider the difference …

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 set (HFS) is now attracting more and more scholars' attention due to its
efficiency in representing comprehensively uncertain and vague information. Considering …

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 …

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 …

Hesitant fuzzy sets (HFSs) are a useful tool to manage situations in which the decision
makers (DMs) hesitate about several possible values for the membership to assess a …

Score functions play an important role in ranking hesitant fuzzy elements (HFEs) and
hesitant fuzzy sets (HFSs). Currently, various kinds of HFE and HFS score functions have …