Complete solution sets of inf- → interval-valued fuzzy relation equations

被引:6
|
作者
Li, De-chao [2 ]
Xie, Yong-jian [1 ]
Geng, Sheng-ling [3 ]
机构
[1] Shaanxi Normal Univ, Coll Math & Informat Sci, Xian 710062, Peoples R China
[2] Zhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316000, Peoples R China
[3] Qinghai Normal Univ, Sch Comp Sci, Xining 810008, Peoples R China
关键词
Interval-valued fuzzy implications; Interval-valued fuzzy relation equations; Maximal solutions; Solutions sets; Semilinear space; APPROXIMATION-THEORY; T-NORMS; RESOLUTION; SYSTEMS; DESIGN;
D O I
10.1016/j.ins.2012.07.019
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fuzzy relation equations play an important role in fuzzy set theory. Interval-valued fuzzy set theory is an extension of fuzzy theory in which a closed subinterval of the unit interval is assigned with membership degree. Therefore, it is very significant to study interval-valued fuzzy relation equations from both the theoretical and practical viewpoints. In this paper, the solution sets of interval-valued fuzzy relation equations with inf- -> composition is investigated, where -> is interval-valued R-, S- or QL-implication. Necessary and sufficient conditions such that there exist solutions for these equations are first shown. Some sufficient conditions for existence of maximal solutions for these equations are represented, and then it is shown that the complete solution sets of inf- -> interval-valued fuzzy relation equations can be determined by their maximal solutions. Finally, the solution sets of linear interval-valued fuzzy relation equations are described by a method similar to that in linear algebra. Crown Copyright (C) 2012 Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:111 / 123
页数:13
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