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Weighting Under Amb...
Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process
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- Danielson, Mats (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Dept. of Computer and Systems Sciences, Stockholm University,DECIDE
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- Ekenberg, Love (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Dept. of Computer and Systems Sciences, Stockholm University,DECIDE
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- Larsson, Aron (author)
- Mittuniversitetet,Stockholms universitet,Institutionen för data- och systemvetenskap,Avdelningen för informations- och kommunikationssystem
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- Riabacke, Mona (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Dept. of Computer and Systems Sciences, Stockholm University
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(creator_code:org_t)
- 2014
- 2014
- English.
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In: International Journal of Computational Intelligence Systems. - : Springer Science and Business Media LLC. - 1875-6891 .- 1875-6883. ; 7:S1, s. 105-112
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Abstract
Subject headings
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- The limited amount of good tools for supporting elicitation of preference information in multi-criteria decision analysis (MCDA) causes practical problem. In our experiences, this can be remedied by allowing more relaxed input statements from decision-makers, causing the elicitation process to be less cognitively demanding. Furthermore, it should not be too time consuming and must be able to actually use of the information the decision-maker is able to supply. In this paper, we propose a useful weight elicitation method for MAVT/MAUT decision making, which builds on the ideas of rank-order methods, but increases the precision by adding numerically imprecise cardinal information as well.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Keyword
- Multi-criteria decision analysis
- imprecision
- criteria weights
- elicitation
Publication and Content Type
- ref (subject category)
- art (subject category)
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