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Search: WFRF:(Riabacke Mona 1976 ) > (2015) > Cardinal and Rank O...

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  • Larsson, AronMittuniversitetet,Stockholms universitet,Institutionen för data- och systemvetenskap,Department of Computer and Systems Sciences, Stockholm University, Forum 100, Kista, Sweden,Avdelningen för informations- och kommunikationssystem (author)

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

  • Article/chapterEnglish2015

Publisher, publication year, extent ...

  • World Scientific,2015
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:su-75826
  • https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-75826URI
  • https://doi.org/10.1142/S021962201450059XDOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-24837URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • 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.

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  • Riabacke, Mona,1976-Stockholms universitet,Institutionen för data- och systemvetenskap,Dept. of Computer and Systems Sciences, Stockholm University(Swepub:su)mph (author)
  • Danielson, MatsStockholms universitet,Institutionen för data- och systemvetenskap,Dept. of Computer and Systems Sciences, Stockholm University(Swepub:su)madan (author)
  • Ekenberg, LoveStockholms universitet,Institutionen för data- och systemvetenskap,Dept. of Computer and Systems Sciences, Stockholm University(Swepub:su)lovek (author)
  • Stockholms universitetInstitutionen för data- och systemvetenskap (creator_code:org_t)

Related titles

  • In:International Journal of Information Technology & Decision Making: World Scientific140219-62201793-6845

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