Fril methods for soft computing, fuzzy control and classification

摘要

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.