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
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;
Conference_Titel :
Multiple-Valued Logic, 2009. ISMVL '09. 39th International Symposium on
Conference_Location :
Naha, Okinawa
Print_ISBN :
978-1-4244-3841-9
Electronic_ISBN :
0195-623X
DOI :
10.1109/ISMVL.2009.39
