DocumentCode
2044152
Title
A new methodology for fuzzy control based on weighted fuzzy logics
Author
Shyi-Ming Chen
Author_Institution
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume
4
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
282
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/TENCON.1993.320488
Filename
320488
Link To Document