基于相离度和可能度的偏差最大化多属性决策方法

Maximum Deviation Method Based on Deviation Degree and Possibility Degree for Uncertain Multi-attribute Decision Making

针对只有部分权重信息且属性值以区间数形式给出的多属性决策问题 ,提出一种基于区间数相离度和可能度的偏差最大化决策方法。该方法能充分利用规范化评价的先验信息 ,评价结果客观可靠 ,不具有主观随意性 ,且概念清楚、含义明确、易于计算机上实现。

A maximum deviation method based on deviation degree and possibility degree is proposed for uncertain multi-attribute decision making. The information on attributes' weights is known partly and attribute values are interval numbers. The proposed method can sufficiently utilize the normalized evaluation information and derive weights of attributes objectively, and can also be performed on computer easily. Finally, a numerical example shows the feasibility and effectiveness of the method.