A Method for Partner Selection of Supply Chain Using Interval-Valued Fuzzy Sets — Fuzzy Choquet Integral and Improved Dempster–Shafer Theory

Guodong Yu (), Li Zhang () and Huiping Sun ()
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Guodong Yu: School of Management, Shandong University, Jinan, China
Li Zhang: School of Management, Harbin Institute of Technology, Harbin, China
Huiping Sun: School of Management, Shandong University, Jinan, China

International Journal of Information Technology & Decision Making (IJITDM), 2018, vol. 17, issue 06, 1777-1804

Abstract: Supply chain partner selection (SCPS) is an important issue for firms to remain highly competitive. SCPS is generally formulated as a fuzzy multi-criteria decision-making problem, of which the most crucial step is how to cope with the fuzzy correlations of multi-criteria and individual differences of experts. To gain more exact results, we adopt interval-valued intuitionistic fuzzy sets to express the fuzziness of multi-criteria. Fuzzy Choquet integral model is developed to explain correlations of multi-criteria and calculate the evaluation results of each expert. An improved Dempster–Shafer theory is utilized to reconcile differences and synthesize each expert decision results. Additionally, an example is presented to illustrate the potential application of the proposed method.

Keywords: Supply chain partner selection; multi-criteria decision-making; interval-valued intuitionistic fuzzy sets; fuzzy Choquet integral; Dempster–Shafer theory (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S0219622018500438

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