期刊名称:BVICAM's International Journal of Information Technology
印刷版ISSN:0973-5658
出版年度:2014
卷号:6
期号:1
语种:English
出版社:Bharati Vidyapeeth's Institute of Computer Applications and Management
摘要:In this paper we have proposed fuzzy classification system by generating the membership functions using semi supervised learning method. k-means clustering technique is used to form clusters and to obtain membership centers, each cluster boundary values. These boundary values are approximated to vertex values of membership functions for overlapping the membership functions. The work is extended with auto creation of fuzzy inference system for classification to perform the classification on the given input data.
关键词:Index Terms – fuzzy classification;clustering;k means; membership function