摘要
针对权重存在不确定性问题,基于分布式偏好信息提出一种不确定性多属性决策方法。该方法首先将每个属性下的分布式偏好信息转化为效用值区间,运用区间数距离函数构造相对优势矩阵,然后利用SMAA-2方法计算得到不同决策方案处于不同位置的概率,并利用排序权重得到排序结果。最后,通过算例分析,验证该方法的有效性和可行性。
For the problems of multi-attribute decision making with uncertain information about attribute weights,a new method based on the distributed preference information is proposed.Firstly,the distributed preference information under each attribute is transformed into an interval number,and the dominance matrix is obtained by using interval number distance functions.Then,the probability of different alternatives in different positions is presented in the simulation process on the basis of the SMAA-2 method,and the ranking result is obtained by ranking weight.Finally,analysis of an example demonstrates the effectiveness and order-preserving of the proposed method.
引文
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