DocumentCode
1708487
Title
Application of evolutionary computation to fuzzy algebra
Author
Van Le, T.
Author_Institution
Fac. of Inf. Sci. & Eng., Canberra Univ., Belconnen, ACT, Australia
fYear
1996
Firstpage
592
Lastpage
595
Abstract
Evolutionary programming is employed to perform the extension principle of fuzzy logic and to evaluate fuzzy algebraic expressions. The method is shown to be highly effective and it may play a promising role in the study of various fuzzy structures such as fuzzy vector spaces and fuzzy analytical geometry
Keywords
algebra; computational geometry; fuzzy logic; fuzzy set theory; genetic algorithms; mathematical programming; vectors; evolutionary computation; evolutionary programming; extension principle; fuzzy algebraic expression evaluation; fuzzy analytical geometry; fuzzy logic; fuzzy structures; fuzzy vector spaces; Algebra; Australia; Electronic mail; Evolutionary computation; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Genetic programming; Performance evaluation; Shape control;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location
Nagoya
Print_ISBN
0-7803-2902-3
Type
conf
DOI
10.1109/ICEC.1996.542666
Filename
542666
Link To Document