Abstract :
The authors present a comprehensive expert-system building tool, called System Z-II, that can deal with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy and normal terms to be freely mixed in the rules and facts of an expert system. This fully implemented tool has been used to build several expert systems in the fields of student curriculum advisement, medical diagnosis, psychoanalysis, and risk analysis. System Z-II is a rule-based system that uses fuzzy logic and fuzzy numbers for its inexact reasoning. It uses two basic inexact concepts, fuzziness and uncertainty, which are distinct from each other in the system.<>
Keywords :
expert systems; fuzzy set theory; System Z-II; expert systems; fuzziness; fuzzy logic; fuzzy numbers; inexact reasoning; medical diagnosis; psychoanalysis; risk analysis; rule-based system; student curriculum advisement; uncertainty; Diagnostic expert systems; Expert systems; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Hybrid intelligent systems; Medical diagnosis; Medical expert systems; Psychology; Risk analysis;
