主客观Vague分值偏差最小化的多属性决策方法

摘要

研究了只有部分属性权重信息,决策者对方案有偏好,决策信息均以Vague数给出的多属性决策问题.在改进Vague集记分函数基础上,建立了一个线性规划模型,用以确定属性权重,进而给出了主客观Vague分值偏差最小化的多属性决策方法.最后通过实例对该方法的详细过程和有效性进行了说明.%On the basis of improved and refined Vague Score Function,a linear programming model is built up to figure out attribute weights,and then to propose approaches to multi-attribute decision making with minimized score value error of subjective and objective Vague.Finally,examples are used to demonstrate detailed procedure and effectiveness of this approach.