Abstract
Effective and accurate vendor selection decisions are important components for supply chain management in manufacturing factories to enhance their organizational performance. This study presented a novel performance evaluation method for tackling these group multiple criteria decision making (GMCDM) problems based on combining VIKOR method and cross-entropy measure under interval-valued fuzzy sets environment. On the other side, a new interval-valued intuitionistic fuzzy prioritized ordered weighted average operator is used to aggregate all decision matrices into a collective decision matrix. Finally, a case study of vendor selection for a manufacturing factory is given demonstrating the effectiveness of the proposed method and showing that it's more efficient and advantageous than existing TOPSIS method.
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