基于不完全权重信息下模糊多属性决策的供应链合作伙伴选择

Fuzzy Multiple Attribute Decision Making under Incomplete Attribute Weights Based on Cooperation Partner of Supply Chain Selection

针对属性权重完全未知或只有部分权重信息且属性值为三角模糊数的供应链合作伙伴选择问题,给出了一种模糊多属性决策方法.提出了一种基于置信度的定性指标的量化方法,通过求解最优化决策模型确定属性的权重,然后根据各方案到模糊理想点的相对贴近度的大小选择最优的合作伙伴.

This paper proposes a fuzzy multiple attribute decision making method based on the cooperation partner of supply chain selection in which the information on attribute weights is completely or partly unknown and the attribute values are given in the forms of triangular fuzzy numbers. A method for quantifying the qualitative attribute is put forward based on reliability. By solving optimization models, the attribute weights can be got. Finally, the ranking order of cooperation partners is attained according to their relative closeness to fuzzy ideal point.