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Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets
Information Sciences, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
B Farhadinia
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On hesitant fuzzy sets and decision
2009 IEEE International Conference on Fuzzy Systems, 2009Intuitionistic Fuzzy Sets (IFS) are a generalization of fuzzy sets where the membership is an interval. That is, membership, instead of being a single value, is an interval. A large number of operations have been defined for this type of fuzzy sets, and several applications have been developed in the last years. In this paper we describe hesitant fuzzy
Vicenç Torra, Yasuo Narukawa
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Journal of Intelligent & Fuzzy Systems, 2016
Convex hesitant fuzzy sets are define as an extension of convex fuzzy sets. Also level sets are defined for hesitant fuzzy sets and discussed with their convexity. We focus on aggregation functions for hesitant fuzzy elements. These aggregation functions are further extended for hesitant fuzzy sets as well as for the convex structures of these sets.
Tabasam Rashid, Ismat Beg
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Convex hesitant fuzzy sets are define as an extension of convex fuzzy sets. Also level sets are defined for hesitant fuzzy sets and discussed with their convexity. We focus on aggregation functions for hesitant fuzzy elements. These aggregation functions are further extended for hesitant fuzzy sets as well as for the convex structures of these sets.
Tabasam Rashid, Ismat Beg
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Expert Systems With Applications, 2017
Abstract Since its creation by Zadeh in 1965, fuzzy set theory (FST) has been continuously advanced in various fronts during the past five decades. Along with Zadeh's classical FST (also termed type-1 fuzzy set theory), a number of higher-order FSTs, including e.g.
Shing-Chung Ngan
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Abstract Since its creation by Zadeh in 1965, fuzzy set theory (FST) has been continuously advanced in various fronts during the past five decades. Along with Zadeh's classical FST (also termed type-1 fuzzy set theory), a number of higher-order FSTs, including e.g.
Shing-Chung Ngan
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On novel hesitant fuzzy rough sets
Soft Computing, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haidong Zhang +2 more
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Divergence measures on hesitant fuzzy sets
Journal of Intelligent & Fuzzy Systems, 2017Measures of difference are studied for hesitant fuzzy sets, i.e. mappings where the values are multisets in the unit interval. Locality (the change of the value of the difference is dependent only on changes in singletons) of such mappings is discussed and the class of all local divergences is characterized.
Vladimír Kobza +2 more
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Information Systems on Hesitant Fuzzy Sets
International Journal of Rough Sets and Data Analysis, 2016Knowledge extraction from information systems is one of the most significant problems in artificial intelligence. This paper attempts to study information systems in the hesitant fuzzy domain. It studies information systems which has a set of possible membership values. Illustration of a case is provided where the hesitant membership values are arrived
D. Deepak, Sunil Jacob John
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Typical hesitant fuzzy rough sets
2015 International Conference on Machine Learning and Cybernetics (ICMLC), 2015This paper studies the constructive approach for rough set approximation operators in the typical hesitant fuzzy environment where the typical hesitant fuzzy set (THFS) is a generalization of the classical fuzzy set by possessing a membership degree of a finite non-empty subset of the unitary interval.
Hong-Ying Zhang 0001, Shu Yun Yang
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