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THERE IS HOPE IN ATTRIBUTE WEIGHTING.
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- Author(s): Pöyhönen, Mari; Hämäläinen, Raimo P.
- Source:
INFOR; Aug2000, Vol. 38 Issue 3, p272-282, 11p- Subject Terms:
- Source:
- Additional Information
- Abstract: Experimental evidence shows that attribute weighting in value trees is prone to various biases. The origins of these biases are suggested to be either behavioral or procedural. It is most surprising that recent literature does not discuss weighting biases observed in connection with applications where these methods are used to support real decision making processes. This is the situation both with multiattribute value tree analysis and the analytic hierarchy process. Can it really be true that biases are only experimental artifacts which do not occur in applications? We believe that the risks of biases exist but so far they have been ignored in applications. We think that this is a serious missing link in current research. However, we suggest that practitioners can do something to avoid biases. We report preliminary research results how the increased understanding of the weight elicitation methodology and the awareness of the biases can decrease their occurrence. The objective of this paper is to give research ideas for those who are interested in studying these effects in practice. [ABSTRACT FROM AUTHOR]
- Abstract: Plusieurs résultats empiriques montrent que la pondération des attributs dans les arbres de valeur est sujette à divers biais. L'origine de ces biais est souvent associée à des facteurs comportementaux ou procéduraux. Il est par contre surprenant que la littérature scientifique récente ne discute pas de ces biais de pondération dans les applications, lorsque ces méthodes sont utilisées au sein de processus réels d'aide à la décision. Il en est ainsi autant dans l'analyse multicritère que dans la méthodologie AHP (Analytic Hierarchy Process). Se pourrait-il vraimént que ces biais ne soient que des artefacts expériméntaux, ne survenant pas dans la pratique? Nous pensons au contraire que les risques de biais existent bel et bien, mais qu'ils ont été ignorés jusqu'à maintenant dans les applications. Cela représente un manque sérieux dans la recherche. Nous croyons cependant que les praticiens peuvent éviter ces biais. Nous présentons ici des résultats préliminaires montrant qu'une compréhension accrue de la méthodologie d'identification des poids, jumelée à une sensibilisation au problemè des biais, peut réduire leur occurrence. L'objectif de cet article est de snggèrer des idées de recherche pour ceux intéressés à étudier ces effets dans la pratique. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of INFOR is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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