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在基于Vague集的多准则决策过程中,评分函数是影响评价结果的决定性因素之一.现有评分函数对Vague集未知信息的处理都不恰当,有的忽略了未知信息对评价结果的影响,有的则夸大了未知信息的影响,所以都存在评价结果与人们直觉判断不符的问题.在总结和整合前人工作的基础上,提出了一种新的评分函数,可根据未知信息的多少决定其对评价结果的影响程度,有效地解决了评价结果与直觉判断不符的问题,并据此提出了一种计算Vague集相似度的新方法.
In the multi-criteria decision-making process based on Vague sets, the scoring function is one of the decisive factors that affect the evaluation results.It is not appropriate for the existing scoring functions to process the unknown information of Vague sets, while some ignores the influence of unknown information on the evaluation results, Some exaggerate the influence of unknown information, so there is a problem that the evaluation results are inconsistent with the intuition of people’s intuition.On the basis of summarizing and integrating the work of predecessors, a new scoring function is proposed, which can be decided according to the amount of unknown information Its influence on the evaluation results effectively solves the problem that the evaluation results are inconsistent with the intuitionistic judgment. Based on this, a new method for calculating the similarity of Vague sets is proposed.