Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Vague sets are intuitionistic fuzzy sets
Fuzzy Sets and Systems
A modified Hausdorff distance between fuzzy sets
Information Sciences: an International Journal
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Multisets and Their Generalizations
WMP '00 Proceedings of the Workshop on Multiset Processing: Multiset Processing, Mathematical, Computer Science, and Molecular Computing Points of View
Generalized OWA Aggregation Operators
Fuzzy Optimization and Decision Making
Pattern recognition using type-II fuzzy sets
Information Sciences—Informatics and Computer Science: An International Journal
A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets
Information Sciences: an International Journal
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
Fuzzy Sets and Systems
International Journal of Intelligent Systems
A fuzzy multicriteria methodology for selection among energy alternatives
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 Linguistic Term Sets for Decision Making
IEEE Transactions on Fuzzy Systems
Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets
Information Sciences: an International Journal
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In this study, we extend the hesitant fuzzy set (HFS) to its higher order type and refer to it as the higher order hesitant fuzzy set (HOHFS). HOHFS is the actual extension of HFS that enables us to define the membership of a given element in terms of several possible generalized type of fuzzy sets (G-Type FSs). The rationale behind HOHFS can be seen in the case that the decision makers are not satisfied by providing exact values for the membership degrees and therefore the HFS is not applicable. However, in order to indicate HOHFSs have a good performance in decision making, we first introduce some information measures for HOHFSs and then apply them to multiple attribute decision making with higher order hesitant fuzzy information.