Book ChapterDOI
Comparing Cardinal and Ordinal Ranking in MCDM Methods
Wayne H. Bowen
- pp 29-40
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The article was published on 2022-01-01. It has received 0 citations till now. The article focuses on the topics: Cardinality (data modeling) & Multiple-criteria decision analysis.read more
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Journal ArticleDOI
Decision quality using ranked attribute weights
TL;DR: In this article, three published approximation formulae for selecting the best multiattribute alternative based on rank-ordered weights are evaluated, and all of them are surprisingly efficacious in determining the best multidimensional alternative.
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A comparison of weight approximation techniques in multiattribute utility decision making
TL;DR: In this article, rank weighting of dimensions has been examined in three multi-attribute decision-making studies using four rank weight weighting techniques as well as equal weights in order to examine the practical significance of this sensitivity.
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The efficacy of SMARTER — Simple Multi-Attribute Rating Technique Extended to Ranking
TL;DR: This paper assumes the decision maker's weight information set consists of ranked swing weights, that is, a ranking of the importance of the attribute ranges, and uses ‘surrogate weights’ derived from this ranking to assess the applicability of ROC weights for the analyst's specific value matrix.
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Selecting a best multiattribute alternative with partial information about attribute weights
TL;DR: The degree to which rank order information about weights can be used to identify a best alternative, or falling uniqueness prescribes an easily implemented rule for selecting a ‘best’ alternative is examined.
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New tools for decision analysts
TL;DR: This paper presents psychological research that can help people make better decisions and calls for further research on the application of fast and frugal methods to decision analysis.