CAJ | 학술논문

该文提出了一种基于离差最大化与属性权重向量距离最小化的多属性群决策中专家权重确定的新方法.首先,根据专家给出的客观评价决策矩阵,通过熵权法计算出属性权重值.然后,根据计算得到的属性权重向量构成属性向量矩阵,建立专家函数,求出对应专家权重.其次,再采用离差最大化的方法计算出相应专家的权重.最后,将由距离最小化与离差最大化的方法得到的专家权重值进行加权集成综合,进而给出多方案间的排序.最后,给出算例对其进行说明该方法的可行性与实用性.
해문제출료일충기우리차최대화여속성권중향량거리최소화적다속성군결책중전가권중학정적신방법.수선,근거전가급출적객관평개결책구진,통과적권법계산출속성권중치.연후,근거계산득도적속성권중향량구성속성향량구진,건립전가함수,구출대응전가권중.기차,재채용리차최대화적방법계산출상응전가적권중.최후,장유거리최소화여리차최대화적방법득도적전가권중치진행가권집성종합,진이급출다방안간적배서.최후,급출산례대기진행설명해방법적가행성여실용성.
This paper proposed a idea based on maximizing deviation and minimization from the attribute weight vector method, this method is actually a new method for establishing the multi-attribute group decision making expert weight. First, according to the experts give an objective evaluation of the property matrix, using entropy method to calculate attribute weights. Then, according to the attribute weight vector calculated constitute property vector matrix, to establish expert weighting function, find the corre?sponding expert weights. Secondly, the system uses maximizing deviation method to calculate the weight of the specialist. Finally, by minimizing the distance with attribute weights , The expert weight of maximizing deviation combined with expert weight of mini?mizing attribute weights to determine the final expert weight and then give sorting among programs. This method give the maximiz?ing deviation method of objectivity, and the expert weights and attribute weights to establish direct contact, interaction between the two, so that the weight of experts are more objective. Finally, numerical examples illustrate its feasibility and practicality of the method.