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A Reputation-Enhanced Hybrid Approach for Supplier Selection with Intuitionistic Fuzzy Evaluation Information

Author

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  • Zhijia Yan

    (School of Information Technology, Zhejiang Yuyin College of Vocational Technology, Hangzhou 310018, China)

  • Wenting Yang

    (School of Information Technology, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Xiaoling Huang

    (School of International Education, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Xiangrong Shi

    (School of Information Technology, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Wenyu Zhang

    (School of Information Technology, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Shuai Zhang

    (School of Information Technology, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

Abstract

Selecting optimal suppliers in fuzzy environments has become a major challenge for enterprises. Reputation plays an important role in the process of supplier selection because of its fuzziness, dynamicity, and transitivity. In this study, we first present a novel intuitionistic fuzzy sets (IFS)-hyperlink-induced topic search (HITS) method that combines the intuitionistic fuzzy set with the hyperlink-induced topic search (HITS) algorithm to extend the ability of processing fuzzy information in order to obtain post-propagated reputation values of suppliers. Then, we employ the dynamic intuitionistic fuzzy weighted average operator to gain dynamic reputation values and other evaluation attribute values. After that, intuitionistic fuzzy entropy weight method is adopted to acquire more accurate weights for each evaluation attribute. Finally, we employ the Vlsekriterijumska Optimizacija I Kompromisno Resenje method to acquire comprehensive evaluation values of candidate supplier to select optimal suppliers. Two groups of experiments for supplier selection are given to explain feasibility and practicality of the proposed method.

Suggested Citation

  • Zhijia Yan & Wenting Yang & Xiaoling Huang & Xiangrong Shi & Wenyu Zhang & Shuai Zhang, 2019. "A Reputation-Enhanced Hybrid Approach for Supplier Selection with Intuitionistic Fuzzy Evaluation Information," Mathematics, MDPI, vol. 7(3), pages 1-17, March.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:3:p:298-:d:216777
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    References listed on IDEAS

    as
    1. Ye, Jun, 2010. "Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment," European Journal of Operational Research, Elsevier, vol. 205(1), pages 202-204, August.
    2. Mohammaditabar, Davood & Ghodsypour, Seyed Hassan & Hafezalkotob, Ashkan, 2016. "A game theoretic analysis in capacity-constrained supplier-selection and cooperation by considering the total supply chain inventory costs," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 87-97.
    3. Tsuyoshi Deguchi & Katsuhide Takahashi & Hideki Takayasu & Misako Takayasu, 2014. "Hubs and Authorities in the World Trade Network Using a Weighted HITS Algorithm," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-16, July.
    4. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
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    Cited by:

    1. Guiwu Wei & Cun Wei & Jiang Wu & Hongjun Wang, 2019. "Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method," IJERPH, MDPI, vol. 16(24), pages 1-15, December.

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