A fuzzy production rule based expert system

Abstract In this paper we describe a fuzzy production rule based expert system that has been developed with the micro- prolog language to assist physicians in the field of pneumoconiosis. The system accepts as input a fuzzy attribute vector all of whose components are fuzzy sets, and produces as output a fuzzy set of conclusions. The system makes approximate reasoning calculations using the new method of approximate reasoning of characteristic expansion.