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Applications of a novel fuzzy expert system shell
Author(s) -
Leung K.S.,
Wong W.S. Felix,
Lam W.
Publication year - 1989
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1989.tb00070.x
Subject(s) - computer science , expert system , fuzzy logic , legal expert system , knowledge base , shell (structure) , artificial intelligence , neuro fuzzy , data mining , fuzzy set operations , machine learning , fuzzy rule , fuzzy control system , materials science , composite material
Much of the information resident in the knowledge base of a typical expert system is imprecise, incomplete or not totally reliable. The special features of a novel expert system shell based on fuzzy logic and numbers are presented. This rule‐based system can deal with exact, inexact (fuzzy) and combined reasoning as well as uncertainty represented by fuzzy numbers. Natural language interface is built in naturally using fuzzy logic representation. Several application areas, namely, classification, risk analysis and information retrieval, are discussed with four appropriate sample expert systems actually built using this shell. Through these expert systems, the additional power and advantages over traditional expert systems are illustrated. It has been demonstrated that the introduction of fuzzy concepts into expert systesms is not feasible but highly desirable.