Title :
A new methodology for fuzzy control based on weighted fuzzy logics
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
This paper presents a weighted fuzzy reasoning technique for fuzzy control based on weighted fuzzy logics, where fuzzy production rules are used for knowledge representation. The technique allows the truth values of the conditions appearing in the antecedent portions of the rules, the certainty factors of the rules, and the weights of the conditions appearing in the antecedent portions of the rules to be linguistic terms represented by trapezoidal fuzzy numbers.<>
Keywords :
fuzzy control; fuzzy logic; fuzzy set theory; inference mechanisms; knowledge representation; uncertainty handling; certainty factors; fuzzy control; fuzzy production rules; fuzzy set theory; knowledge representation; trapezoidal fuzzy numbers; truth values; weighted fuzzy logics; weighted fuzzy reasoning; Control systems; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Information science; Knowledge representation; Production;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320488
