Outlines for a New Approach to Generating Fuzzy Classification Rules through Clustering Techniques

Abstract

The paper deals with the method of extracting fuzzy classification rules based a heuristic method of possibilistic clustering. The description of basic concepts of the direct possibilistic clustering algorithm based on the concept of allotment among fuzzy cluster is provided. A general plan of the clustering procedure is given. A method of constructing of fuzzy rules based on clustering results is proposed. An illustrative example of the method’s application to the Anderson’s Iris data is carried out. An analysis of the experimental results is given and preliminary conclusions are formulated.