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An Intuitionistic Fuzzy ELECTRE-III Method for Credit Risk Assessment

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Proceedings of the Tenth International Conference on Management Science and Engineering Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 502))

Abstract

Multi-criteria decision making (MCDM) is a widely efficient decision methodology, which has successfully been used to diverse scientific fields. In this paper, an intuitionistic fuzzy ELECTRE-III approach is proposed to solve the MCDM problem. We combine the ELECTRE-III method with intuitionistic fuzzy information in an integrated approach. Finally, a case study of credit risk assessment is provided to elucidate the details of the proposed method.

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Acknowledgments

Supported by the Fundamental Research Funds for the Central Universities (Grant No. 112010004005080004).

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Authors and Affiliations

  1. School of Finance, Southwestern University of Finance and Economics, Chengdu, 611130, People’s Republic of China

    Feng Shen & Zhiyong Li

  2. Southwestern University of Finance and Economics, Chengdu, 611130, People’s Republic of China

    Dao Lan

Authors
  1. Feng Shen
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  2. Dao Lan
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  3. Zhiyong Li
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Corresponding author

Correspondence to Dao Lan .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, Sichuan, China

    Jiuping Xu

  2. Azerbaijan National Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

  3. Karlsruhe Institute of Technology, Karlsruhe, Baden-Württemberg, Germany

    Stefan Nickel

  4. Tokyo University of Science, Fuzzy Logic Systems Institute, Tokyo, Japan

    Mitsuo Gen

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© 2017 Springer Science+Business Media Singapore

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Shen, F., Lan, D., Li, Z. (2017). An Intuitionistic Fuzzy ELECTRE-III Method for Credit Risk Assessment. In: Xu, J., Hajiyev, A., Nickel, S., Gen, M. (eds) Proceedings of the Tenth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 502. Springer, Singapore. https://doi.org/10.1007/978-981-10-1837-4_25

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  • DOI: https://doi.org/10.1007/978-981-10-1837-4_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1836-7

  • Online ISBN: 978-981-10-1837-4

  • eBook Packages: EngineeringEngineering (R0)

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