多属性群体决策中基于比较的群体排序结果

S. Chakraborty, C. Yeh
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引用次数: 5

摘要

提出了一种求解群体排序问题的群体共识方法。该方法考虑给定一组决策方案的所有可能排序结果。决策者可以自由地使用他们选择的排名方法提供他们自己的排名结果。然后使用斯皮尔曼的排名相关性来计算每个可能排名结果的总体相似度。求解空间中每个排序结果的总体相似度是使用其与决策者给出的排序结果的相似度来计算的。在解空间中,与决策者排序结果最相似的排序结果为群体最偏好的排序结果。
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Comparison Based Group Ranking Outcome for Multiattribute Group Decisions
A novel group consensus methodology for group ranking problems is presented in this paper. The method considers all the possible ranking outcomes for a given set of decision alternatives. Decision makers are given the freedom to provide their own ranking outcomes using their chosen ranking methods. Spearman's rank correlation is then used to calculate the overall similarity for each of the possible ranking outcomes. The overall similarity for each ranking outcome in the solution space is calculated using its similarities to the ranking outcomes given by the decision makers. The ranking outcome in the solution space which is most similar to the decision makers ranking outcomes is the most preferred one by the group.
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