Scale dependence in weight and rate multicriteria decision methods

被引:1
|
作者
Abbas, Ali E. [1 ]
Hupman, Andrea C. [2 ]
机构
[1] Univ Southern Calif, Ind & Syst Engn & Publ Policy, Los Angeles, CA 90089 USA
[2] Univ Missouri, Supply Chain & Analyt Dept, St Louis, MO 63121 USA
基金
美国国家科学基金会;
关键词
Decision analysis; Multicriteria methods; Constructed scales; Preference reversal; STOCHASTIC-DOMINANCE; SUPPORT; MONOTONICITY; SENSITIVITY; JUDGMENTS; SELECTION; RANKING; MODELS;
D O I
10.1016/j.ejor.2022.12.038
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper investigates the effects of constructed scales used to evaluate criteria, and monotonic pertur-bations of those scales, on the ranking of decision alternatives. The analysis focuses on the widely used 'weight and rate' method of multicriteria decision-making, but the findings also provide perspectives on scale dependence in numerous settings. We introduce a simulation method to generate 'weight and rate' decisions uniformly and use simulation to characterize the sensitivity of the obtained rankings to mono-tonic transformations. We define a weight-rate function and cumulative weight-rate function to charac-terize decision alternatives and draw on the results of stochastic dominance to address the sensitivity of the rankings to the choice of the constructed scale analytically for certain classes of decisions. We define absolute, first-order, and second-order weight-rate dominance conditions. We also define a special case where the domain of the weight-rate function of one alternative is contained within the domain of an-other. We show that this special case is especially sensitive to the constructed scale. We also show via simulations that increasing the number of attributes or the number of alternatives increases sensitivity to the constructed ratings scale. The numerical and theoretical results show the ranking of decision al-ternatives is sensitive to the constructed scale, except in limited cases such as absolute and first-order weight-rate dominance. The results provide insights for practitioners and government officials into this widely used method of decision-making and cautions them to the sensitivity of their results to the rating and weighting scales that are used.(c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页码:225 / 235
页数:11
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