摘要
针对具有多种信息类型的多属性群决策问题,文章基于MULTIMOORA提出了一种决策方法。首先将不同类型的评价信息转化为梯形模糊数,构建梯形模糊初始决策矩阵,并运用离差最小化法和熵权法分别计算决策专家权重与属性权重。基于梯形模糊数对MULTIMOORA进行扩展,并据此对备选方案进行比较与选择。最后通过算例验证了该方法的可行性与有效性。
For multi-attribute group decision-making with multiple information types,this paper proposes a decision method based on MULTIMOORA.Firstly,the evaluation information of different types is transformed into trapezoidal fuzzy number to construct the initial decision matrix of trapezoid fuzzy.And then the method of dispersion minimization and entropy weight are used to calculate the weights of decision experts and attributes respectively.MULTIMOORA is extended based on trapezoidal fuzzy number,according to which the alternatives are compared and selected.Finally,an example is given to verify the feasibility and effectiveness of the proposed method.
作者
齐春泽
Qi Chunze(School of Information Engineering,Lanzhou University of Finance and Economics,Lanzhou 730020,China)
出处
《统计与决策》
CSSCI
北大核心
2019年第5期41-45,共5页
Statistics & Decision
基金
甘肃科技厅软科学项目(17CX1ZA022)
