Title :
A new method to tune rules in fuzzy control system using fuzzy arithmetic operations
Author :
Yongquan, Yu ; Bi, Zeng ; Guokun, Zhong ; Haixia, Peng
Author_Institution :
Inst. of Comput. Sci. & Intelligent Eng., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
We present a new method to tune the rule base in a fuzzy control system. The consequent part fuzzy values are the important control values that effect the performance of fuzzy system output. We use the fuzzy tuning value to carry out the fuzzy arithmetic operations with consequent fuzzy values in the rules, hence the rule base is regulated. The simulation result shows the method proposed is valuable and easy to implement.
Keywords :
fuzzy control; fuzzy set theory; intelligent control; consequent part fuzzy values; fuzzy arithmetic; fuzzy control system; fuzzy system output; fuzzy tuning value; performance; rule base tuning; simulation; Arithmetic; Automatic generation control; Bismuth; Computer science; Control systems; Databases; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021409
