Hesitant L-Fuzzy Sets

被引：8
|
作者：
Dehmiry, A. H. [1 ]
Mashinchi, M. [2 ]
Mesiar, R. [3 ,4 ]
机构：
[1] Vali E Asr Univ Rafsanjan, Dept Math, Fac Math, Rafsanjan, Iran
[2] Shahid Bahonar Univ, Dept Stat, Fac Math & Comp Sci, Kerman, Iran
[3] Slovak Univ Technol Bratislava, Dept Math & Descript Geometry, Fac Civil Engn, Bratislava, Slovakia
[4] Palacky Univ Olomouc, Dept Algebra & Geometry, Fac Sci, Olomouc 77146, Czech Republic
来源：
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2018年 / 33卷 / 05期
关键词：
AGGREGATION;
D O I：
10.1002/int.21910
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (C) 2017 Wiley Periodicals, Inc.
引用
收藏
页码：1027 / 1042
页数：16
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