Designing Gaussian Membership Functions for Fuzzy Classifier Generated by Heuristic Possibilistic Clustering
Designing Gaussian Membership Functions for Fuzzy Classifier Generated by Heuristic Possibilistic Clustering
Author(s): Dmitri A. Viattchenin, Reyhane Tati, Aliaksandr DamaratskiSubject(s): ICT Information and Communications Technologies
Published by: Fakultet organizacije i informatike, Sveučilište u Zagrebu
Keywords: fuzzy cluster; fuzzy rule; antecedent; consequent; Gaussian membership function;
Summary/Abstract: The paper deals with the problem of constructing Gaussian membership functions of fuzzy sets for fuzzy rules derived from the data by using heuristic algorithms of possibilistic clustering. Basic concepts of the heuristic approach to possibilistic clustering are reminded and the extended technique of constructing membership functions of fuzzy sets is proposed. An illustrative example is given and preliminary conclusions are made.
Journal: Journal of Information and Organizational Sciences
- Issue Year: 37/2013
- Issue No: 2
- Page Range: 127-139
- Page Count: 13
- Language: English