Analysis of Fuzzification Process in Fuzzy Expert System

Abstract

The fuzzy expert systems are oriented towards handling uncertain or imprecise information. The fuzzy expert system is used in the domains where the input variables do not have fixed values. The success of fuzzy system depends upon the selection of appropriate membership function. The paper presents the analysis of fuzzification process of Fuzzy expert systems implemented in the domains of health care, education, career selection, real estate and finance. The parameters used for analyzing the systems are the input factors, type of membership function used for fuzzification, de-fuzzification of fuzzy sets generated. Based on analysis of the fuzzy expert system, the paper presents recommendations for selecting appropriate membership function. At the end paper presents guidelines for fuzzification process which can be useful in creating Fuzzy Expert System.