Judgmental consistency and consensus in stochastic multicriteria decision making
Judgmental consistency and consensus in stochastic multicriteria decision making
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DOI：
10.1016/j.eswa.2009.11.042
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发表时间：
2010-05
期刊：
影响因子：
--
通讯作者：
Eugene D. Hahn
中科院分区：
文献类型：
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作者：
Eugene D. Hahn
随机多准则决策方法是一类判断不确定的多准则决策方法。最近，这类模型在文献中产生了越来越大的兴趣。我们统一的判断一致性和组内共识的概念下，在这类模型的背景下的偏好同质性的框架。我们提出了新的方法和措施，检查偏离一致性使用Kullback-Leibler分歧。我们还提出了一种新的方法，折刀Kullback-Leibler分歧，其特征在于在何种程度上一组成员表现出偏好的共识与该组的其余成员。
Stochastic multicriteria decision making methods are a class of multicriteria decision making methods in which judgments are not taken to be certain. Recently, this class of models has generated increasing interest in the literature. We unify the notions of judgmental consistency and intra-group consensus under a framework of preference homogeneity in the context of this class of models. We propose new methods and measures for examining departures from consistency by using the Kullback–Leibler divergence. We also propose a new method, the jackknifed Kullback–Leibler divergence, that characterizes the extent to which a group member exhibits preference consensus with the remaining members of the group.