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Fuzzy Integral on Credibility Measure

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Fuzzy Information and Engineering Volume 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 62))

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Abstract

Fuzzy measure and credibility measure are two dissimilar concepts. Fuzzy integral on fuzzy measure has been researched. So far fuzzy integral on credibility measure has been not studied yet. This paper introduces fuzzy integral on credibility measure and discusses its properties.

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References

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Author information

Authors and Affiliations

  1. School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, P.R. China

    Bao Qing Hu

  2. Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong

    Wai Cheung Ip & Heung Wong

Authors
  1. Bao Qing Hu
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  2. Wai Cheung Ip
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  3. Heung Wong
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Editor information

Editors and Affiliations

  1. Guangzhou University, China

    Bingyuan Cao

  2. Chongqing University of Science and Technology, Chongqing, PR China

    Tai-Fu Li

  3. Hainan Normal University, Hainan, PR China

    Cheng-Yi Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Cite this paper

Hu, B.Q., Ip, W.C., Wong, H. (2009). Fuzzy Integral on Credibility Measure. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_28

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  • DOI: https://doi.org/10.1007/978-3-642-03664-4_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03663-7

  • Online ISBN: 978-3-642-03664-4

  • eBook Packages: EngineeringEngineering (R0)

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