DocumentCode :
1277367
Title :
Fuzzy relation equations and fuzzy inference systems: an inside approach
Author :
Stamou, Giorgos B. ; Tzafestas, Spyros G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
Volume :
29
Issue :
6
fYear :
1999
fDate :
12/1/1999 12:00:00 AM
Firstpage :
694
Lastpage :
702
Abstract :
This paper investigates and extends the use of fuzzy relation equations for the representation and study of fuzzy inference systems. Using the generalized sup-t (t is a triangular norm) composition of fuzzy relations and the study of sup-t fuzzy relation equations, interesting results are provided concerning the completeness and the theoretical soundness of the representation, as well as the ability to mathematically formulate and satisfy application-oriented design demands. Furthermore, giving a formal study of fuzzy partitions and some useful aspects of fuzzy associations and fuzzy systems, the paper can be used as a theoretical background for designing consistent fuzzy inference systems
Keywords :
fuzzy logic; fuzzy systems; inference mechanisms; application-oriented design demands; fuzzy inference systems; fuzzy relation equations; sup-t fuzzy relation equations; Decision making; Equations; Function approximation; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Manufacturing; Modeling; Neural networks; Robots;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/3477.809025
Filename :
809025
Link To Document :
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