Fuzzy data mining and expert system development

The proposed fuzzy data mining and expert system approach has two main modules: knowledge representation and approximate reasoning. The knowledge representation module is based on a modified fuzzy c-means (FCM) algorithm which is an extension of classical FCM algorithm in several respects. Hence, knowledge representation is developed with an unsupervised learning with respect to a given input-output data set. The approximate reasoning module contains four reasoning parameters that are subject to supervised learning for a given input-output data set and error minimization criteria.