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Employing Cardinal Rank Ordering of Criteria in Multi-Criteria Decision Analysis
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- Riabacke, Mona (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Institutionen för data- och systemvetenskap, Stockholms universitet
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- Danielson, Mats (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Institutionen för data- och systemvetenskap, Stockholms universitet
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- Larsson, Aron, 1976- (author)
- Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013),ValIT
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- World Scientific, 2012
- 2012
- English.
- In: Uncertainty Modeling in Knowledge Engineering and Decision Making. - : World Scientific. - 9789814417730
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- The elicitation of preference information in multi-criteria decision analysis (MCDA) processes and the lack of practical means supporting it is a significant problem in real-life applications of MCDA. The issues at hand are problematical in a multitude of ways, but some of these issues may be remedied by accepting weaker input statements from decision-makers than what is most commonly needed, yet being able to utilize these statements for decision evaluation. In this paper, we propose a fast and practically useful weight elicitation method, which builds on the ideas of rank-order methods, but in addition take imprecise cardinal information into account.
Subject headings
- SAMHÄLLSVETENSKAP -- Medie- och kommunikationsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Media and Communications (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- multi-criteria decision analysis criteria elicitation
- data- och systemvetenskap
- Computer and Systems Sciences
Publication and Content Type
- ref (subject category)
- kon (subject category)
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