The benefits of global scaling in multi-criteria decision analysis

When there are multiple competing objectives in a decision-making process, Multi-Attribute Choice scoring models are excellent tools, permitting the incorporation of both subjective and objective attributes. However, their accuracy depends upon the subjective techniques used to construct the attribu...

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Main Author: Jamie P. Monat
Format: Article
Language:English
Published: Society for Judgment and Decision Making 2009-10-01
Series:Judgment and Decision Making
Subjects:
Online Access:http://journal.sjdm.org/8430/jdm8430.pdf
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spelling doaj-0bb06376068f401cba85e92836d2c1b92021-05-02T16:17:45ZengSociety for Judgment and Decision MakingJudgment and Decision Making1930-29752009-10-0146492508The benefits of global scaling in multi-criteria decision analysisJamie P. MonatWhen there are multiple competing objectives in a decision-making process, Multi-Attribute Choice scoring models are excellent tools, permitting the incorporation of both subjective and objective attributes. However, their accuracy depends upon the subjective techniques used to construct the attribute scales and their concomitant weights. Conventional techniques using local scales tend to overemphasize small differences in attribute measures, which may yield erroneous conclusions. The Range Sensitivity Principle (RSP) is often invoked to adjust attribute weights when local scales are used. In practice, however, decision makers often do not follow the prescriptions of the Range Sensitivity Principle and under-adjust the weights, resulting in potentially poor decisions. Examples are discussed as is a proposed solution: the use of global scales instead of local scales. http://journal.sjdm.org/8430/jdm8430.pdfdecision analysismultiple criteria analysisrangesensitivityglobal scalelocal scaleimportance weightswing weight.
collection DOAJ
language English
format Article
sources DOAJ
author Jamie P. Monat
spellingShingle Jamie P. Monat
The benefits of global scaling in multi-criteria decision analysis
Judgment and Decision Making
decision analysis
multiple criteria analysis
rangesensitivity
global scale
local scale
importance weight
swing weight.
author_facet Jamie P. Monat
author_sort Jamie P. Monat
title The benefits of global scaling in multi-criteria decision analysis
title_short The benefits of global scaling in multi-criteria decision analysis
title_full The benefits of global scaling in multi-criteria decision analysis
title_fullStr The benefits of global scaling in multi-criteria decision analysis
title_full_unstemmed The benefits of global scaling in multi-criteria decision analysis
title_sort benefits of global scaling in multi-criteria decision analysis
publisher Society for Judgment and Decision Making
series Judgment and Decision Making
issn 1930-2975
publishDate 2009-10-01
description When there are multiple competing objectives in a decision-making process, Multi-Attribute Choice scoring models are excellent tools, permitting the incorporation of both subjective and objective attributes. However, their accuracy depends upon the subjective techniques used to construct the attribute scales and their concomitant weights. Conventional techniques using local scales tend to overemphasize small differences in attribute measures, which may yield erroneous conclusions. The Range Sensitivity Principle (RSP) is often invoked to adjust attribute weights when local scales are used. In practice, however, decision makers often do not follow the prescriptions of the Range Sensitivity Principle and under-adjust the weights, resulting in potentially poor decisions. Examples are discussed as is a proposed solution: the use of global scales instead of local scales.
topic decision analysis
multiple criteria analysis
rangesensitivity
global scale
local scale
importance weight
swing weight.
url http://journal.sjdm.org/8430/jdm8430.pdf
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