Distance and similarity measures of hesitant fuzzy sets based on Hausdorff metric with applications to multi-criteria decision making and clustering

MS Yang, Z Hussain - Soft Computing, 2019 - Springer
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 …

New distance and similarity measures for hesitant fuzzy sets and their application in hierarchical clustering

K Rezaei, H Rezaei - Journal of Intelligent & Fuzzy Systems, 2020 - content.iospress.com
The hesitant fuzzy sets (HFSs) are an extension of the classical fuzzy sets. The membership
degree of each element in a hesitant fuzzy set can be a set of possible values in the interval …

New distance and similarity measures on hesitant fuzzy sets and their applications in multiple criteria decision making

D Li, W Zeng, J Li - Engineering applications of artificial intelligence, 2015 - Elsevier
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 …

A novel distance-based multiple attribute decision-making with hesitant fuzzy sets

B Farhadinia, Z Xu - Soft Computing, 2020 - Springer
Up to now, various types of distance measures have been developed and investigated in-
depth for hesitant fuzzy sets (HFSs). The analytical study of the existing distance measures …

Modified distance measure on hesitant fuzzy sets and its application in multi-criteria decision making problem

B Singha, M Sen, N Sinha - Opsearch, 2020 - Springer
The distance measure based on hesitant fuzzy sets is an effective tool in the field of treating
similar objects where it distinguishes the difference between two objects. Several distance …

New distance measures on hesitant fuzzy sets based on the cardinality theory and their application in pattern recognition

F Zhang, S Chen, J Li, W Huang - Soft Computing, 2018 - Springer
As a generalization of fuzzy set, hesitant fuzzy set (HFS) permits the membership of an
element to a set having a set of possible values. Distance is one of important tools in …

Novel distance and similarity measures on hesitant fuzzy sets with applications to clustering analysis

X Zhang, Z Xu - Journal of Intelligent & Fuzzy Systems, 2015 - content.iospress.com
Distance and similarity measures are fundamentally important in a variety of scientific fields
such as clustering analysis, pattern recognition and decision making, etc. In this paper, by …

Some new similarity measures for hesitant fuzzy sets and their applications in multiple attribute decision making

X Zhou, Q Li - arXiv preprint arXiv:1211.4125, 2012 - arxiv.org
Similarity measure is a very important topic in fuzzy set theory. Torra (2010) proposed the
notion of hesitant fuzzy set (HFS), which is a generalization of the notion of Zadeh'fuzzy set …

Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets

B Farhadinia - Information Sciences, 2013 - Elsevier
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 …

Distance and similarity measures for hesitant fuzzy sets

Z Xu, M Xia - Information sciences, 2011 - Elsevier
In this paper, we propose a variety of distance measures for hesitant fuzzy sets, based on
which the corresponding similarity measures can be obtained. We investigate the …