Implicative and conjunctive fuzzy rules - A tool for reasoning from knowledge and examples

摘要

Fuzzy rule-based systems have been mainly used as a convenient tool fo synthesizing control laws from data. Recently, in a knowledge prepresentation-oriented perspective, a typology of fuzzy rules has been laid bare, by emphasizing the distinction between implicative and conjunctive fuzzy rules. The former describe pieces of generic knowledge either tainted with uncertainty or tolerant to similarity, while the latter encode examples-originated information expressing either mere possibilities or how typical situations can be extrapolated.