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

Aron Larsson, Mona Riabacke (), Mats Danielson () and Love Ekenberg ()
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Aron Larsson: Department of Computer and Systems Sciences, Stockholm University, Forum 100, SE-164 40 Kista, Sweden†Department of Information Technology and Media, Mid Sweden University, SE-851 70 Sundsvall, Sweden
Mona Riabacke: Department of Computer and Systems Sciences, Stockholm University, Forum 100, SE-164 40 Kista, Sweden
Mats Danielson: Department of Computer and Systems Sciences, Stockholm University, Forum 100, SE-164 40 Kista, Sweden
Love Ekenberg: Department of Computer and Systems Sciences, Stockholm University, Forum 100, SE-164 40 Kista, Sweden

International Journal of Information Technology & Decision Making (IJITDM), 2015, vol. 14, issue 06, 1299-1330

Abstract: 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.

Keywords: Multi-criteria decision analysis; elicitation method; criteria weights; criteria ranking; incomplete information (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:14:y:2015:i:06:n:s021962201450059x

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DOI: 10.1142/S021962201450059X

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