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Similarity Computation between Fuzzy Set and Crisp Set with Similarity Measure Based on Distance

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Information Retrieval Technology (AIRS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4993))

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Abstract

The computation procedure of similarity between fuzzy set and crisp set is derived. The proposed similarity measure is constructed through distance measure. And our results are compared with those of previous similarity which is based on fuzzy number.

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Author information

Authors and Affiliations

  1. School of Mechatronics, Changwon National University, #9 sarim-dong, Changwon, Gyeongnam, 641-773, Korea

    Sang H. Lee & Wook Je Park

  2. Dept. of Mathematics Education, Ewha Womans University, #11-1 daehyun-dong, seodaemun-ku, Seoul, 120-750, Korea

    Hyunjeong Park

Authors
  1. Sang H. Lee
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  2. Hyunjeong Park
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  3. Wook Je Park
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Editor information

Hang Li Ting Liu Wei-Ying Ma Tetsuya Sakai Kam-Fai Wong Guodong Zhou

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© 2008 Springer-Verlag Berlin Heidelberg

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Lee, S.H., Park, H., Park, W.J. (2008). Similarity Computation between Fuzzy Set and Crisp Set with Similarity Measure Based on Distance. In: Li, H., Liu, T., Ma, WY., Sakai, T., Wong, KF., Zhou, G. (eds) Information Retrieval Technology. AIRS 2008. Lecture Notes in Computer Science, vol 4993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68636-1_77

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  • DOI: https://doi.org/10.1007/978-3-540-68636-1_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68633-0

  • Online ISBN: 978-3-540-68636-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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