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Determining multiple attribute weights consistent with pairwise preference orders

Authors
Ahn, Byeong SeokHan, Chang Hee
Issue Date
May-2005
Publisher
Springer Verlag
Keywords
Imprecise information; Multiattribute decision making; Preference order; Weight estimation
Citation
Lecture Notes in Computer Science, v.3483, no.IV, pp.360 - 367
Indexed
OTHER
Journal Title
Lecture Notes in Computer Science
Volume
3483
Number
IV
Start Page
360
End Page
367
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46431
DOI
10.1007/11424925_39
ISSN
0302-9743
Abstract
This paper presents a method for determining multiple attribute weights when pairwise comparison judgments on alternatives are specified and attribute consequences are captured in imprecise ways. A decision-maker or expert can express holistic pairwise comparisons on alternatives from his/her domain knowledge and decision alternatives are characterized by some tangible or possibly some intangible multiple attributes of which consequences can be represented by imprecise information. In this paper, attribute weights are to be estimated in the direction of minimizing the amount of violations and thus to be as consistent as possible with a decision-maker's ordered pairs. Multiple attribute weights that were determined with pairwise judgments on a subset of alternatives can be used to prioritize the other remaining alternatives. © Springer-Verlag Berlin Heidelberg 2005.
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