DocumentCode :
8018
Title :
A Note on Fuzzy Relational Equations With Min-Implication Composition
Author :
Pingke Li
Author_Institution :
Dept. of Ind. Eng., Tsinghua Univ., Beijing, China
Volume :
21
Issue :
5
fYear :
2013
fDate :
Oct. 2013
Firstpage :
983
Lastpage :
986
Abstract :
The fuzzy relational equations with min-implication composition are considered, where the implication operation involved is the residuum with respect to the minimum operation. The solution set of such a system of equations, whenever nonempty, can be characterized by a minimum solution and finitely many maximal solutions. It is shown that a system of fuzzy relational equations with min-implication composition can be reformulated in polynomial time into a system of 0-1 mixed integer linear inequalities, and consequently, the structure of its solution set can be revealed in a succinct manner. Besides, it is shown that the determination of all maximal solutions is polynomially reducible to the transversal hypergraph generation problem, of which some practically well-performed algorithms are available.
Keywords :
computational complexity; fuzzy systems; integer programming; linear programming; 0-1 mixed integer linear inequalities; fuzzy relational equations; implication operation; min-implication composition; polynomial time; transversal hypergraph generation problem; Fuzzy sets; Indexes; Mathematical model; Optimization; Polynomials; Vectors; Fuzzy relational equations; maximal solutions; transversal hypergraph generation;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2013.2239649
Filename :
6410020
Link To Document :
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