CPP-TRI:一种基于偏好概率组合的排序方法

A. P. Sant’Anna, H. G. Costa, Valdecy Pereira
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引用次数: 22

摘要

本文开发了一种基于随机化三分体决策的排序方法,该决策将选择分类为对一定数量的概况的优、劣或无关。要分类的备选方案和具有代表性的概要文件由多个标准下的性能确定。备选方案分配给高于和低于该类别的概率彼此最接近的类别。该流的先前开发是ELECTRE TRI-nC。将新方法的应用结果与之前应用ELECTRE TRI-nC得到的结果进行了比较。第二个分析探讨了新方法在评估来自一群人而不是只有一个评估者的情况下的应用。通过比较仁慈规则和严格规则的分类,还测试了该方法的稳健性。不同规则的应用结果是相似的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CPP-TRI: a sorting method based on the probabilistic composition of preferences
This paper develops an approach for sorting based on randomising the trichotomic decision about classifying an alternative as superior, inferior or indifferent to a certain number of profiles. The alternatives to be classified and the representative profiles are determined by performances under multiple criteria. The alternative is allocated to the category for which the probabilities of being above and below such a category are nearest to one another. A previous development in this stream is ELECTRE TRI-nC. Results of application of the new approach are compared to those obtained in a previous application of ELECTRE TRI-nC. A second analysis explores the new method when applied to a situation in which the evaluations come from a group of people instead of only one evaluator. The robustness of the approach was also tested by comparing classifications from benevolent and exacting rules. The results of application of the different rules are similar.
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