FUZZY MULTI-CRITERIA DECISION-MAKING WITH MULTILEVEL CRITERIA TO EVALUATE RETAILER FINANCIAL PERFORMANCE FOR SUPPLY CHAIN MANAGEMENT
Retailers are important components in a supply chain because they are closer to the end users than are other industrial processes of the chain. Therefore, retailer selection must be carefully examined, especially when considering the financial performance of supply chain management. Generally, the evaluation of retailer financial performance in a vague and uncertain environment is based on multilevel criteria. In the past, many researchers, including Chen, Liang, Raj and Kumar, Wang and Lee, and Chou, proposed models under uncertain environments to evaluate fuzzy multi-criteria decision-making (FMCDM) problems. They evaluated FMCDM problems based on a single level, and resolved the ties of multiplying two fuzzy numbers. Furthermore, Chou proposed a utility representation function of multiplying three fuzzy numbers for FMCDM based on multilevel criteria that were presented in a hierarchical structure. Practically, multiplication of three or more fuzzy numbers is crucial because multilevel FMCDM is mainly constructed by multiplication. Based on a utility representation function of multiplying several fuzzy numbers, we propose multilevel FMCDM to evaluate retailer financial performance for supply chain management in this paper. By adopting multilevel FMCDM, the evaluation of retailer financial performance for supply chain management under uncertain environments can result easily and quickly
Wang, Yu-Jie and Han, Tzeu-Chen
"FUZZY MULTI-CRITERIA DECISION-MAKING WITH MULTILEVEL CRITERIA TO EVALUATE RETAILER FINANCIAL PERFORMANCE FOR SUPPLY CHAIN MANAGEMENT,"
Journal of Marine Science and Technology: Vol. 27:
3, Article 8.
Available at: https://jmstt.ntou.edu.tw/journal/vol27/iss3/8