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首页> 外文期刊>Asia-Pacific Journal of Operational Research >ADDITIVE-VETO MODELS FOR CHOICE AND RANKING MULTICRITERIA DECISION PROBLEMS
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ADDITIVE-VETO MODELS FOR CHOICE AND RANKING MULTICRITERIA DECISION PROBLEMS

机译:选择和排序多准则决策问题的加法否决模型

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摘要

Using additive models for aggregation of criteria is an important procedure in many multicriteria decision methods. This compensatory approach, which scores the alternatives straightforwardly, may have significant drawbacks. For instance, the Decision Maker (DM) may prefer not to select alternatives which have a very low performance in whatever criterion. In contrast, such an alternative may have the best overall evaluation, since the additive model may compensate this low performance in one of the criteria as a result of high performance in other criteria. Thus, additive-veto models are proposed with a view to considering the possibility of vetoing alternatives in such situations, particularly for choice and ranking problems. A numerical application illustrates the use of such models, with a detailed discussion related to real practical problems. Moreover, the results obtained from a numerical simulation show that it is not so rare for a veto of the best alternative to occur in the additive model. This is of considerable relevance depending on the DM's preference structure.
机译:在许多多准则决策方法中,使用加法模型进行准则聚合是重要的过程。这种直接对备选方案进行评分的补偿性方法可能会存在重大缺陷。例如,决策者(DM)可能更愿意不选择在任何条件下性能都非常低的替代方案。相反,这样的选择方案可能具有最佳的总体评估,因为附加模型可以补偿其中一个标准中的这种低性能,而这是其他标准中的高性能的结果。因此,提出加性否决模型是为了考虑在这种情况下,特别是对于选择和排名问题,否决替代方案的可能性。数值应用说明了此类模型的使用,并针对实际问题进行了详细讨论。此外,从数值模拟获得的结果表明,在加性模型中出现最佳选择的否决并不罕见。这取决于DM的偏好结构,具有很大的相关性。

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