基于满意度的区间多属性决策方法

Method for Interval Multiple Attribute Decision-Making Problem with Incomplete AttributeWeights

针对属性权重信息不完全的区间多属性问题,将满意度的概念引入区间多属性决策,考虑决策者给出的权重信息,结合客观数据建立优化模型,得出权重,再根据综合属性值对方案进行排序.既体现了决策者的主观信息,又利用了决策数据,使主观与客观相结合,决策更合理,且容易在计算机上实现,并可运用于风险投资领域和其它相关领域.

With respect to the problem of interval multiple attribute decision-making problem with incomplete attribute weights, a modified TOPSIS method is proposed. The method makes full use of the information about the weight, and calculates every ahernatives＇ positive ideal point and negative ideal point aceoding to the single purpose line programming models. And a method determined the weight is given . Then the relative accessibility to the ideal point is calculated for every planning to ranking all alternatives. Finally, the method is applied to the project evaluation in field of venture capital.