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International Conference on Oriental Thinking and Fuzzy Logic pp 51–63Cite as

Fuzzy Information Fusion Approach for Supplier Selection

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 443))

Abstract

Supplier selection plays an important role in supply chain system. In order to select the suitable suppliers, some methods of supplier selection have been studied extensively in fuzzy environment. In this paper, a fuzzy information fusion approach based on generalized fuzzy numbers (GFNs) is proposed to select the best supplier. Some aggregation operators with GFNs are also proposed. In addition, a new ranking formula based on mean values of GFNs is adopted to rank the suppliers. Finally, an empirical study of supplier selection is introduced to illustrate the proposed method. The results indicate that the proposed method could meet the different evaluation requirements of decision makers and offer an effective and practical way to select the best supplier.

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Acknowledgments

This research was supported in part by grants from the National Natural Science Foundation of China (#71222108, #71325001 and #71173028), Program for New Century Excellent Talents in University (#NCET-12-0086), the Research Fund for the Doctoral Program of Higher Education (#20120185110031) the Fundamental Research Funds for the Central Universities (ZYGX2015KYQD079).

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Authors and Affiliations

  1. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China

    Guangxu Li & Yi Peng

  2. School of Business Administration, Southwestern University of Finance and Economics, Chengdu, 611731, Sichuan, China

    Gang Kou

Authors
  1. Guangxu Li
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  2. Gang Kou
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  3. Yi Peng
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Corresponding author

Correspondence to Gang Kou .

Editor information

Editors and Affiliations

  1. Guangzhou Vocational Collg. Sci. & Tech., Guangzhou, China

    Bing-Yuan Cao

  2. West Texas A&M University, Canyon,TX,USA, Liaoning Technical University, Fuxin, China

    Pei-Zhuang Wang

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

    Zeng-Liang Liu

  4. School of Math and Info. Science, Guangzhou University, Guangzhou, China

    Yu-Bin Zhong

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© 2016 Springer International Publishing Switzerland

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Li, G., Kou, G., Peng, Y. (2016). Fuzzy Information Fusion Approach for Supplier Selection. In: Cao, BY., Wang, PZ., Liu, ZL., Zhong, YB. (eds) International Conference on Oriental Thinking and Fuzzy Logic. Advances in Intelligent Systems and Computing, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-30874-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-30874-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30873-9

  • Online ISBN: 978-3-319-30874-6

  • eBook Packages: EngineeringEngineering (R0)

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