Firing condition of fuzzy rules, generalised possibility and necessity measures

摘要: When inference is performed with the compositional rule of (CRI), fuzzy rules can be mathematically modelled by a pair operators, implication function and modus ponens generating function, each being possible model for rule. Analysing firing condition rules, that hypothesis observation must verify to infer non-trivial conclusion, it get deeper understanding behaviour different models used, valuable semantic criteria obtained select best suitable model. The any expressed means generalised possibility or necessity measure generated its functions, measures quantify amount uncertainty possibilistic conclusion. Two types distributions identified as those concluded from models, necessary distributions, corresponding conclusions.