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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.