Screening in multiple criteria decision analysis

被引：38

作者：

Chen, Ye ^{[1
]}

Kilgour, D. Marc ^{[2
]}

Hipel, Keith W. ^{[1
]}

机构：

[1] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada

[2] Wilfrid Laurier Univ, Dept Math, Waterloo, ON N2L 3C5, Canada

来源：

DECISION SUPPORT SYSTEMS | 2008年 / 45卷 / 02期

基金：

日本学术振兴会;

关键词：

multiple criteria decision analysis; preference information; screening; sequential screening; water supply planning;

D O I：

10.1016/j.dss.2007.12.017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Screening is a process for multiple criteria decision analysis (MCDA) that reduces a large set of alternatives to a smaller set that most likely contains the best choice. To study screening in detail, MCDA is first interpreted as consequence-based preference aggregation. Consequence data and preference expressions (values and weights) are defined and the aggregation steps are elaborated. Based on these concepts, screening and sequential screening are defined and their properties are discussed. Then, it is shown how several popular MCDA methods can be integrated into a decision support system for sequential screening based upon available decision information. Finally, an illustrative application to water supply planning is presented. (c) 2007 Elsevier B.V All rights reserved.

引用

页码：280 / 292

页数：13

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