DocumentCode
1698569
Title
Optimization of Fuzzy If-Then Rule Bases by Evolutionary Tuning of the Operations
Author
Moraga, Claudio ; Sugeno, Michio ; Trillas, Enric
Author_Institution
Eur. Centre for Soft Comput., Mieres
fYear
2009
Firstpage
221
Lastpage
226
Abstract
This paper discusses optimization of fuzzy if-then rule bases by an evolutionary adjustment of the operations considered to use the rules. Adjustment of the operations is made by first parameterizing the operations with the help of either a contracting function or an order automorphism, followed by evolutionary tuning of the parameters. Optimization of a system based on Takagi-Sugeno rules and its distributed implementation are discussed in detail.
Keywords
distributed algorithms; evolutionary computation; fuzzy logic; fuzzy set theory; Takagi-Sugeno fuzzy if-then rule base; contracting function; distributed evolutionary algorithm; evolutionary parameter tuning; fuzzy logic; fuzzy set theory; order automorphism; Benchmark testing; Fuzzy logic; Fuzzy sets; Fuzzy systems; Joining processes; Optimization methods; Polynomials; Shape; Simulated annealing; System testing; Takagi-Sugeno systems; evolutionary strategy; rules optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Multiple-Valued Logic, 2009. ISMVL '09. 39th International Symposium on
Conference_Location
Naha, Okinawa
ISSN
0195-623X
Print_ISBN
978-1-4244-3841-9
Electronic_ISBN
0195-623X
Type
conf
DOI
10.1109/ISMVL.2009.39
Filename
5010403
Link To Document