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A Multi-attribute Decision Making Method Based on Combination of Subjective and Objective Weighting

机译:基于主观和客观加权组合的多属性决策方法

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In view of the subjectivity of subjective weighting method in multi-attribute decision making and the fact that objective weighting method does not take into account the intention of decision makers, this paper proposes a method of weighting based on the combination of subjective and objective information-subjective and objective combination weighting method. In this method, we carried out weighted synthesis to the subjective weight and the objective weight, and used the combination of the two optimization goal programming model-the minimization of deviation square sum between subjective and objective weights, and the maximization of the comprehensive evaluation value of the decision schemes, to obtain weighted coefficients. Finally, we made an example analysis and compared this method with the existing weighting method. The contrast results show that the sorting scheme by this method can reflect both subjective and objective information, which shows that this method is practical and effective.
机译:鉴于多属性决策中的主观加权方法的主观性以及客观加权方法没有考虑决策者意图的事实,本文提出了一种基于主观和客观信息的组合的加权方法 - 主观和客观组合加权方法。在该方法中,我们对主观权重和客观重量进行了加权合成,并使用了两种优化目标编程模型的组合 - 主观和客观权重之间的偏差方和最小化,以及综合评估值的最大化决策方案,获得加权系数。最后,我们进行了一个示例分析并将这种方法与现有的加权方法进行了比较。对比结果表明,该方法的分选方案可以反映主观和客观信息,表明该方法是实用且有效的。

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