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Mathematics 2019, 7(3), 298; https://doi.org/10.3390/math7030298

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

1
School of Information Technology, Zhejiang Yuyin College of Vocational Technology, Hangzhou 310018, China
2
School of Information Technology, Zhejiang University of Finance and Economics, Hangzhou 310018, China
3
School of International Education, Zhejiang University of Finance and Economics, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Received: 28 January 2019 / Revised: 16 March 2019 / Accepted: 20 March 2019 / Published: 24 March 2019
(This article belongs to the Section Mathematics and Computers Science)
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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. View Full-Text
Keywords: supplier selection; HITS algorithm; intuitionistic fuzzy number; reputation propagation supplier selection; HITS algorithm; intuitionistic fuzzy number; reputation propagation
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Yan, Z.; Yang, W.; Huang, X.; Shi, X.; Zhang, W.; Zhang, S. A Reputation-Enhanced Hybrid Approach for Supplier Selection with Intuitionistic Fuzzy Evaluation Information. Mathematics 2019, 7, 298.

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