Hesitant   L  ‐Fuzzy Sets | Zendy

Dehmiry A. H. | Zendy; Mashinchi M. | Zendy; Mesiar R. | Zendy

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Hesitant L ‐Fuzzy Sets

Author(s) -

Dehmiry A. H.,

Mashinchi M.,

Mesiar R.

Publication year - 2018

Publication title -

international journal of intelligent systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.291

H-Index - 87

eISSN - 1098-111X

pISSN - 0884-8173

DOI - 10.1002/int.21910

Subject(s) - fuzzy set , representation theorem , computer science , fuzzy logic , resolution (logic) , representation (politics) , type 2 fuzzy sets and systems , knowledge representation and reasoning , mathematics , identity (music) , artificial intelligence , fuzzy set operations , theoretical computer science , discrete mathematics , physics , political science , law , politics , acoustics

The hesitant fuzzy sets are a new efficient mathematical approach to study imprecise, uncertain, or incomplete knowledge. This paper focuses to extend this approach on a lattice and shows that two large application concepts of the fuzzy set theory namely resolution identity and representation theorem are true under this extended definition.

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