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Research on the Methods of Similarity Measures between Vague Sets

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Knowledge Discovery and Data Mining

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 135))

Abstract

Vague set is a generalization of the concept of fuzzy set , similarity measure is the key to research vague set theory. At present, many methods of similarity measure have been proposed, and even been used in several areas. Based on the analysis and studies the methods of similarity measure proposed by domestic and foreign scholars, a new kind of similarity measures of vague set or value is put forward in this article, as well as compares this method with other scholars’ methods, it is verified that the new measures are more rational and practical, and shown that it can be a more useful way to measure the degree of similarity between vague set or value.

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Li, Jm., Li, H. (2012). Research on the Methods of Similarity Measures between Vague Sets. In: Tan, H. (eds) Knowledge Discovery and Data Mining. Advances in Intelligent and Soft Computing, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27708-5_30

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  • DOI: https://doi.org/10.1007/978-3-642-27708-5_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27707-8

  • Online ISBN: 978-3-642-27708-5

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