期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：4
出版社：S.S. Mishra
摘要：This paper presents new approach Hesitant Fuzzy K-nearest neighbour (HFK-nn) based document classification and numerical results analysis. The proposed classification Hesitant Fuzzy K-nearest neighbour (HFK-nn) approach is based on hesitant Fuzzy distance. In this paper we have used hesitant Fuzzy distance calculations for document classification results. The following steps are used for classification: data collection, data pre-processing, data selection, presentation, analysis, classification process and results. The experimental results are evaluated using MATLAB 7.14. The Experimental Results show proposed approach that is efficient and accurate compare to other classification approach.
关键词：Hesitant Fuzzy k-nearest neighbour; hesitant Fuzzy distance; classification and data mining
