Case Studies on the Discrepancy of Multi-Criterion Decision Making between Deterministic and Fuzzy Approaches

• Main Authors: Tzu-Jung Chen, 陳姿蓉
• Other Authors: Chiuh-Cheng Chyu
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/02911063519014871953

碩士 === 元智大學 === 工業工程與管理學系 === 101 === This thesis aims to investigate the discrepancy between decision making based on deterministic approach and fuzzy approach. Two selection problems are examined; one is selecting USB cables supplier, and the other is selecting a location in a campus that will generate most business benefit of a fashion and intelligent vending machine. For the first supplier section problem, an example and data set is taken from Chou and Chang (2008). In the method, Fuzzy SMART was applied to aggregate experts’ opinions and to calculate each attribute weight. Then three alternatives are compared using SMART and TOPSIS methods in both crisp and fuzzy modes. We found that the ranking of these alternatives are the same since the five experts’ evaluations on many aspects do not deviate much. The second study focus on a location selection problem of placing a fashion and intelligent vending machine at a college campus in north Taiwan. Four steps are taken to reach a conclusion: (1) Employ brainstorm method to establish an initial hierarchical decision criteria structure, as well as five alternative locations; (2) apply two-dimensional fuzzy Kano’s model to integrate experts’ opinion and eliminate attributes of lower importance; (3) use fuzzy SMART to aggregate the experts’ evaluations and compute the weight of each attribute, (4) rank the five alternatives using crisp/fuzzy SMART and TOPSIS. The numerical results indicate that the four methods produce the same ranking for the five alternatives, and the score differences are significant between any two consecutive ranking alternatives.