Ranking Decision Variants by Subjective Paired Comparisons in Cases with Incomplete Data
Ranking Decision Variants by Subjective Paired Comparisons in Cases with Incomplete Data
复制标题
在数据不完整的情况下通过主观配对比较对决策变量进行排名
DOI：
10.1007/3-540-44842-x_22
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
E. V. Uden
中科院分区：
文献类型：
--
作者：
M. Kwiesielewicz;E. V. Uden
成对比较法被广泛用于对有限的、通常是少量的决策变量进行排序，特别是在直接评估和效用理论都不能给出满意结果的情况下。在这种方法中，要求一位专家或一组专家提供他/他们对每一对因素的意见，表达一对中一个变量相对于第二个变量的相对重要性。然而，一个或几个专家不能就一对或几对因素提供他/他们的意见。在这种情况下，由此产生的判断矩阵是不完整的，估计缺失数据的问题出现。本文讨论了有关缺乏数据的一些问题。并给出了数值算例。
The pairwise comparison method is widely used to rank a finite, usually small number of decision variants especially in a case when neither a direct evaluation nor the utility theory gives satisfactory results. In this method, an expert or a group of experts is asked to provide his/their opinions concerning each pair of factors expressing a relative importance of one variant in a pair over the second one. It happens however that an expert or few experts cannot provide his/their opinions concerning a pair or pairs of factors. In such a case the resulting judgement matrices are incomplete and a problem of estimating missing data arises. The paper addresses some issues concerning lacking data. Some numerical examples are included.