Biases and Debiasing in Multi-Criteria Decision Analysis

被引：15

作者：

Montibeller, Gilberto ^{[1
]}

von Winterfeldt, Detlof ^{[2
]}

机构：

[1] Univ London London Sch Econ & Polit Sci, Dept Management, London WC2A 2AE, England

[2] Univ So Calif, Dept Ind & Syst Engn, Los Angeles, CA 90089 USA

来源：

2015 48TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS) | 2015年

关键词：

UTILITY MEASUREMENT; RISK; ALTERNATIVES; PROBABILITY; ATTRIBUTES; MODELS; CONSTRUCTION; PREFERENCES; GENERATION; WEIGHTS;

D O I：

10.1109/HICSS.2015.148

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Developing models and estimating parameters for multi-criteria decision analysis requires judgments by experts and decision makers. These judgments are subject to biases, which can reduce the quality of the analysis. Some of these biases are due to faulty cognitive processes; some are due to motivations for preferred analysis outcomes. We describe these biases, how they affect multi-criteria decision analysis and discuss some debiasing techniques.

引用

页码：1218 / 1226

页数：9

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