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Cardinal and Rank Ordering of Criteria — Addressing Prescription within Weight Elicitation

Larsson, Aron (author)
Mittuniversitetet,Stockholms universitet,Institutionen för data- och systemvetenskap,Department of Computer and Systems Sciences, Stockholm University, Forum 100, Kista, Sweden,Avdelningen för informations- och kommunikationssystem
Riabacke, Mona, 1976- (author)
Stockholms universitet,Institutionen för data- och systemvetenskap,Dept. of Computer and Systems Sciences, Stockholm University
Danielson, Mats (author)
Stockholms universitet,Institutionen för data- och systemvetenskap,Dept. of Computer and Systems Sciences, Stockholm University
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Ekenberg, Love (author)
Stockholms universitet,Institutionen för data- och systemvetenskap,Dept. of Computer and Systems Sciences, Stockholm University
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 (creator_code:org_t)
World Scientific, 2015
2015
English.
In: International Journal of Information Technology & Decision Making. - : World Scientific. - 0219-6220 .- 1793-6845. ; 14
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Weight elicitation methods in multi-criteria decision analysis (MCDA) are often cognitively demanding, require too much precision, time and effort. Some of the issues may be remedied by connecting elicitation methods to an inference engine facilitating a quick and easy method for decision-makers to use weaker input statements, yet being able to utilize these statements in a method for decision evaluation. In this paper, we propose a fast and practically useful weight elicitation method, answering to many of the requirements. The method builds on the ideas of rank-order methods, but can also take imprecise cardinal information into account. The method is subsequently employed in two real-life case studies and compared to a case where a simple ratio weight procedure using exact input statements was employed.

Subject headings

SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)
SOCIAL SCIENCES  -- Media and Communications -- Information Systems, Social aspects (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
elicitation method
criteria weights
criteria ranking
incomplete information
data- och systemvetenskap
Computer and Systems Sciences

Publication and Content Type

ref (subject category)
art (subject category)

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