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A New Similarity Measure Between Vague Sets

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Fuzzy Systems & Operations Research and Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 367))

Abstract

Similarity measure is one of important, effective and widely-used methods in data processing and analysis. Vague set, as a generalized fuzzy set, has more powerful ability to process fuzzy information than fuzzy set. In this paper, we propose a new similarity measure between vague sets. Compared to existing similarity measures, our approach is far more reasonable, practical yet useful in measuring the similarity between vague sets.

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Acknowledgments

The research was supported by the National Natural Science Foundation of China (Grant No. 60972115) and the Scientific Research Common Program of Beijing Municipal Commission of Education (Grant No. SQKM201211232016).

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Authors and Affiliations

  1. School of Applied Science, Beijing Information Science and Technology University, Beijing, 100192, China

    Bing-Jiang Zhang

Authors
  1. Bing-Jiang Zhang
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Correspondence to Bing-Jiang Zhang .

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Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Bing-Yuan Cao

  2. Foreign Affairs Office, National Defense University, Beijing, China

    Zeng-Liang Liu

  3. Higher Education Mega Center, Guangzhou University, Guangzhou, China

    Yu-Bin Zhong

  4. Zhuhai Campus, Beijing Normal University, Zhuhai, China

    Hong-Hai Mi

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© 2016 Springer International Publishing Switzerland

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Zhang, BJ. (2016). A New Similarity Measure Between Vague Sets. In: Cao, BY., Liu, ZL., Zhong, YB., Mi, HH. (eds) Fuzzy Systems & Operations Research and Management. Advances in Intelligent Systems and Computing, vol 367. Springer, Cham. https://doi.org/10.1007/978-3-319-19105-8_12

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  • DOI: https://doi.org/10.1007/978-3-319-19105-8_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19104-1

  • Online ISBN: 978-3-319-19105-8

  • eBook Packages: EngineeringEngineering (R0)

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