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dc.contributor.authorHarris, Sean
dc.contributor.authorNino, Luisa
dc.contributor.authorClaudio, David
dc.identifier.citationSean, Harris, Nino Luisa, and Claudio David. “A Statistical Comparison Between Different Multicriteria Scaling and Weighting Combinations.” International Journal of Industrial and Operations Research 3, no. 1 (May 18, 2020). doi:10.35840/2633-8947/6506.en_US
dc.description.abstractMulticriteria decision making presents several challenges for researchers. These include selecting a technique that will produce accurate results but not require too much time or resources. Researchers have been comparing different techniques for several years, though a comprehensive study of using many different techniques for the same set of problems is relatively new. Additionally, knowing if the difference in scores between alternatives is significant or not presents another challenge. The use of confidence intervals has recently been employed by researchers to examine whether results are actually statistically different from one another. This study uses 21 different scaling-weighting combinations and confidence intervals on six different decision-making problems to measure their ability to produce unambiguous results. Linear normalization as a scaling technique tends to be the best at identifying one or two clear winners while avoiding complete ambiguity. Despite the variety of combinations used, several common themes emerge across the decision problems.en_US
dc.rights© This published version is made available under the CC-BY 4.0 licenseen_US
dc.titleA Statistical Comparison between Different Multicriteria Scaling and Weighting Combinationsen_US
mus.citation.journaltitleInternational Journal of Industrial and Operations Researchen_US
mus.relation.collegeCollege of Businessen_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentMechanical & Industrial Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US

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© This published version is made available under the CC-BY 4.0 license
Except where otherwise noted, this item's license is described as © This published version is made available under the CC-BY 4.0 license

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