DocumentCode :
1364878
Title :
Solving Fuzzy Relational Equations Via Semitensor Product
Author :
Daizhan Cheng ; Jun-e Feng ; Hongli Lv
Author_Institution :
Inst. of Syst. Sci., Beijing, China
Volume :
20
Issue :
2
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
390
Lastpage :
396
Abstract :
The problem of solving max-min fuzzy relational equations is investigated. First, we show that if there is a solution, then there is a corresponding solution within the set of parameters [briefly, the parameter set solution (PSS)]. Then, the semitensor product of matrices is used to convert the logical equations into algebraic equations via the vector expression of logical variables. Under this form, every PSS can be obtained. It is proved that all the solutions can be revealed from their corresponding PSS. Some examples are presented to demonstrate the algorithm to solve fuzzy relational equations.
Keywords :
formal logic; fuzzy set theory; matrix algebra; minimax techniques; relational algebra; vectors; algebraic equations; logical equations; matrices; max-min fuzzy relational equations; parameter set solution; semitensor product; vector expression; Approximation algorithms; Bismuth; Educational institutions; Equations; Inference algorithms; Matrix converters; Vectors; Fuzzy relational equation (FRE); multivalued logic; parameter set solution (PSS); semitensor product;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2011.2174243
Filename :
6064885
Link To Document :
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