A New Multiple Attribute Decision Making Method Based on Generalized Hesitant Fuzzy Aggregation Operator and the Application on the Assessment and Select of Supplier

نویسندگان

  • Mengting Huang
  • Chong Ye
  • Li-Hsing Ho
  • Shu-Yun Feng
  • Yu-Cheng Lee
  • Gizem Cifci
چکیده

The supplier is an important member in the supply chain. The work of supplier evaluation is also an essential effect for the good operation of the manufacturing supply chain. However, supply chain has some characteristics. They are dynamic composition, the complicated management and the high risk. These characteristics determine that supplier evaluation is complex and difficult. Therefore, in this paper, we study the supplier evaluation and put forward the assessment framework of supply chain evaluation. This assessment framework with new hesitant fuzzy sets can better express the decision maker's preference more accurately and can be applied in more multiple decision making problems. Finally, we apply this method to evaluate the supplier and get the evaluated results. The experiments show that this method can express better the decision maker’s preference more accurately.

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تاریخ انتشار 2016