Similarity measure of intuitionistic fuzzy sets
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- Ozawa Shou
- Graduate School of Science and Technology, Computer Science Cource, Meiji Univ.
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- Razaei Razaei
- Dept of Computer Science, Meiji Univ.
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- Mukaidono Masao
- Dept of Computer Science, Meiji Univ.
Bibliographic Information
- Other Title
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- 直感的ファジィ集合の類似度測度
Abstract
In this paper, we review several existing similarity measures of intuitionistic fuzzy sets (IFS) and then some numerical examples are applied to show that some existing similarity measures may not always be effective and reasonable in some cases. We propose new similarity measures of IFS which are able to overcome several drawbacks of some existing measures. Several examples will show the comparison of the proposed similarity measures with some existing measures. We also present two propositions concerning the relationship between similarity and dissimilarity (distance) measures of IFS, and further propositions in regard to the fact that a suitable comb- ination of similarity measures may be a similarity measure.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 22 (0), 59-59, 2006
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205667497088
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- NII Article ID
- 130004591410
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed