Title :
Fril methods for soft computing, fuzzy control and classification
Author_Institution :
Dept. of Eng. Math., Bristol Univ., UK
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;
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
DOI :
10.1109/FUZZY.1995.409697
