Hesitant fuzzy prioritized operators and their application to multiple attribute decision making
Knowledge-Based Systems
International Journal of Intelligent 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
Group decision making under hesitant fuzzy environment with application to personnel evaluation
Knowledge-Based Systems
Aggregation functions for typical hesitant fuzzy elements and the action of automorphisms
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
A VIKOR-based method for hesitant fuzzy multi-criteria decision making
Fuzzy Optimization and Decision Making
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Approaches to hesitant fuzzy multiple attribute decision making with incomplete weight information
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A multiple criteria hesitant fuzzy decision making with Shapley value-based VIKOR method
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hesitant triangular fuzzy information aggregation in multiple attribute decision making
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A hesitant fuzzy set, allowing the membership of an element to be a set of several possible values, is very useful to express people's hesitancy in daily life. In this paper, we define the distance and correlation measures for hesitant fuzzy information and then discuss their properties in detail. These measures are all defined under the assumption that the values in all hesitant fuzzy elements (the fundamental units of hesitant fuzzy sets) are arranged in an increasing order and two hesitant fuzzy elements have the same length when we compare them. We can find that the results, by using the developed distance measures, are the smallest ones among those when the values in two hesitant fuzzy elements are arranged in any permutations. In addition, the derived correlation coefficients are based on different linear relationships and may have different results. © 2011 Wiley Periodicals, Inc. © 2011 Wiley Periodicals, Inc.