文章基本信息

标题：A New Clustering Method Based On Type-2 Fuzzy Similarity and Inclusion Measures
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作者：Li, Dongmei ; Li, Tao ; Zhao, Tao 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2014
卷号：9
期号：11
页码：2559-2569
DOI：10.4304/jcp.9.11.2559-2569
语种：English
出版社：Academy Publisher
摘要：Similarity and inclusion measures between type-2 fuzzy sets have a wide range of applications. New similarity and inclusion measures between type-2 fuzzy sets are respectively defined in this paper. The properties of the measures are discussed. Some examples are used to compare the proposed measures with the existing results. Numerical results show that the proposed measures are more reasonable. Similarity measures and Yang and Shih’s algorithm are combined as a clustering method for type-2 fuzzy data. Clustering results demonstrate that the proposed similarity measures are better than the existing measures.
关键词：type-2 fuzzy sets;similarity;inclusion;clustering