DocumentCode
293354
Title
Fril methods for soft computing, fuzzy control and classification
Author
Baldwin, J.F.
Author_Institution
Dept. of Eng. Math., Bristol Univ., UK
Volume
1
fYear
1995
fDate
20-24 Mar 1995
Firstpage
309
Abstract
Alternative and more general Fril methods for soft computing including fuzzy control and classification are described. Fril is a logic programming style programming language which provides for uncertainty reasoning. Both fuzzy and probabilistic forms of uncertainties are allowed. It is shown how rules can be automatically determined from a data base of examples. Fril allows for more general modelling and allows the concepts of soft computing to have wider application
Keywords
fuzzy control; fuzzy set theory; inference mechanisms; logic programming languages; uncertainty handling; Fril; classification; database; fuzzy control; logic programming language; probabilistic form; rules; soft computing; uncertainty reasoning; Calculus; Computer languages; Equations; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Logic programming; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location
Yokohama
Print_ISBN
0-7803-2461-7
Type
conf
DOI
10.1109/FUZZY.1995.409697
Filename
409697
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