基于DEA的vague值的确定性转化及其应用

含糊性和不可分辨性是决策中不确定性的两个方面.Vague集由真、假隶属度两方面来定义,具有强大的表达不精确数据的能力.在介绍Vague集的有关概念的基础上,基于DEA方法,将vague值转化为确定性数据,能够对vague值之间进行比较,且为同时包含vague值和其他定量指标的多目标决策提供思路.

Determinacy Transformation of Vague Value and Its Application Based on Dea Method

Vagueness and non-distinguishable are two aspects of the uncertainty in the decision-making.The vague set consists of true-membership function and false-membership function,it has the ability to express the inaccurate data.This paper employed DEA method to transfer the vague value to the definite data,provide the theoretical basis for the Comparison among the vague values,and provide the mentality for the multi-objective decision making including the vague value and other quantitative index.