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Augmenting Ordinal ...
Augmenting Ordinal Methods of Attribute Weight Approximation
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- Danielson, Mats (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Ekenberg, Love (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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He, Ying (författare)
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(creator_code:org_t)
- Institute for Operations Research and the Management Sciences (INFORMS), 2014
- 2014
- Engelska.
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Ingår i: Decision Analysis. - : Institute for Operations Research and the Management Sciences (INFORMS). - 1545-8490 .- 1545-8504. ; 11:1, s. 21-26
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Multicriteria decision aid (MCDA) methods have been around for quite some time. However, the elicitation of preference information in MCDA processes and the lack of supporting practical means are problematic in real-life applications. Various proposals have been made for how to eliminate some of the obstacles and methods for introducing so-called surrogate weights have proliferated in the form of ordinal ranking methods for criteria weights. Considering the decision quality, one main problem is that the input information allowed in ordinal methods is sometimes too restricted. At the same time, decision makers often possess more background information, for example, regarding the relative strengths of the criteria, and might want to use that. We propose combined methods for facilitating the elicitation process and show how this provides a way to use partial information from the strength of preference judgment over weights in assessing weights for multiattribute utility functions.
Ämnesord
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business (hsv//eng)
Nyckelord
- multicriteria decision analysis
- criteria weights
- criteria ranking
- rank order
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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