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dc.contributor.authorRoszkowska, Ewa-
dc.identifier.citationOptimum. Studia ekonomiczne, Nr 5 (65) 2013, s. 14-33pl
dc.description.abstractMulticriteria decision making (MCDM)refers to screening, prioritizing, ranking or selecting the alternatives based on human judgment from among a finite set of ` alternatives in terms of the multiple usually conflicting criteria.Avery significant role in MCDM modelsplays the weights of criteria which usually provide the information about the relativeimportance of the considered criteria. Several different methods are developed to take criteria priorities into account. The aim of the paper is a comparative overview on several rankordering weights methods which are considered to convert the ordinal ranking of a number of criteria into numerical weights. Using ranks to elicit weights by some formulas is more reliable than just directly assigning weights to criteria because usually decision makers are more confident about the ranks of some criteria than their we-ights, and they can agree on ranks more easily. The great advantage of those methods is the fact that they rely only on ordinal information about attribute importance. They can be used for instance in sit-uations of time pressure, quality nature of criteria, lack of knowledge, imprecise, incomplete infor-mation or partial information, decision maker’s limited attention and information processing capability. The equal weights, rank sum, rank exponent, rank reciprocal as well centroid weights technique are presented. These methods have been selected for their simplicity and
dc.description.sponsorshipThis work was supported by the grant from Polish National Scien ce Center (DEC-2011/03/ B/HS4/03857).pl
dc.publisherWydawnictwo Uniwersytetu w Białymstokupl
dc.subjectmulti-criteria decision makingpl
dc.subjectranking weight methodspl
dc.titleRank Ordering Criteria Weighting Methods – a Comparative Overviewpl
dc.description.Affiliationdr hab. Ewa Roszkowska, prof. UwB – Faculty of Economics and Management, University of Bialystokpl
Występuje w kolekcji(ach):Artykuły naukowe (WEiF)
Optimum. Studia Ekonomiczne, 2013, nr 5(65)

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