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An improvement to swing techniques for elicitation in MCDM methods

Danielson, Mats (author)
Stockholms universitet,Institutionen för data- och systemvetenskap,International Institute for Applied Systems Analysis, IIASA, Austria
Ekenberg, Love (author)
Stockholms universitet,Institutionen för data- och systemvetenskap,International Institute for Applied Systems Analysis, IIASA, Austria
 (creator_code:org_t)
Elsevier BV, 2019
2019
English.
In: Knowledge-Based Systems. - : Elsevier BV. - 0950-7051 .- 1872-7409. ; 168, s. 70-79
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Several approaches that utilise various questioning procedures to elicit criteria weights exist, ranging from direct rating and point allocation to more elaborate methods. However, decision makers often find it difficult to understand how these methods work and how they should be comprehended. This article discusses the SWING family of elicitation techniques and suggests a refined method: the P-SWING method. Based on this, we provide an integrated framework for elicitation, modelling and evaluation of multi-criteria decision problems.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

Multi-criteria decision methods
Weight elicitation
Improved SWING method
Quality assurance

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ref (subject category)
art (subject category)

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Danielson, Mats
Ekenberg, Love
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NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
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Knowledge-Based ...
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Stockholm University

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