Entropy, distance measure and similarity measure of fuzzy sets and their relations
Fuzzy Sets and Systems
Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets
Fuzzy Sets and Systems
A modified Hausdorff distance between fuzzy sets
Information Sciences: an International Journal
Entropy-based fuzzy clustering and fuzzy modeling
Fuzzy Sets and Systems
Entropy for intuitionistic fuzzy sets
Fuzzy Sets and Systems
New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions
Pattern Recognition Letters
On the Dengfeng-Chuntian similarity measure and its application to pattern recognition
Pattern Recognition Letters
Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance
Pattern Recognition Letters
Fuzzy entropy on intuitionistic fuzzy sets: Research Articles
International Journal of Intelligent Systems
Intuitionistic fuzzy information - Applications to pattern recognition
Pattern Recognition Letters
Information Sciences: an International Journal
CIS '07 Proceedings of the 2007 International Conference on Computational Intelligence and Security
Clustering algorithm for intuitionistic fuzzy sets
Information Sciences: an International Journal
Entropy of Intuitionistic Fuzzy Set Based on Similarity Measure
ICICIC '08 Proceedings of the 2008 3rd International Conference on Innovative Computing Information and Control
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
A method based on distance measure for interval-valued intuitionistic fuzzy group decision making
Information Sciences: an International Journal
Relationship between similarity measure and entropy of interval valued fuzzy sets
Fuzzy Sets and Systems
A note on similarity measures between vague sets and between elements
Information Sciences: an International Journal
International Journal of Intelligent Systems
Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis
Information Sciences: an International Journal
Multicriteria decision making method based on intuitionistic fuzzy weighted entropy
Expert Systems with Applications: An International Journal
Hesitant fuzzy information aggregation in decision making
International Journal of Approximate Reasoning
Distance and similarity measures for hesitant fuzzy sets
Information Sciences: an International Journal
Intuitionistic Fuzzy Sets: Theory and Applications
Intuitionistic Fuzzy Sets: Theory and Applications
Hesitant fuzzy prioritized operators and their application to multiple attribute decision making
Knowledge-Based Systems
Hesitant fuzzy geometric Bonferroni means
Information Sciences: an International Journal
Hesitant Fuzzy Linguistic Term Sets for Decision Making
IEEE Transactions on Fuzzy Systems
Hesitant fuzzy entropy and cross-entropy and their use in multiattribute decision-making
International Journal of Intelligent Systems
Generalized hesitant fuzzy sets and their application in decision support system
Knowledge-Based Systems
Aggregation functions for typical hesitant fuzzy elements and the action of automorphisms
Information Sciences: an International Journal
Distance and similarity measures for higher order hesitant fuzzy sets
Knowledge-Based Systems
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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-valued hesitant fuzzy sets (IVHFSs). The primary goal of the study is to suggest the systematic transformation of the entropy into the similarity measure for HFSs and vice versa. Achieving this goal is important to the task of introducing new formulas for the entropy and the similarity measure of HFSs. With results having been obtained for HFSs, similar results are also obtainable for IVHFSs. This paper also discusses the need for proposing a new entropy for HFSs and subsequently a new similarity measure for HFSs. Finally, two clustering algorithms are developed under a hesitant fuzzy environment in which indices of similarity measures of HFSs and IVHFSs are applied in data analysis and classification. Moreover, two practical examples are examined to compare the proposed methods with the existing ones.