ESTIMATING THE ATTRIBUTE WEIGHTS THROUGH EVIDENTIAL REASONING AND MATHEMATICAL PROGRAMMING

Mingrong Deng (), Weixuan Xu () and Jian-Bo Yang ()
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Mingrong Deng: Institute of Decision and Optimisation, School of Management, Zhejiang University, Hangzhou, 310027, P.R. China
Weixuan Xu: Institute of Policy and Management, Chinese Academy of Sciences, Beijing, 100080, P.R. China
Jian-Bo Yang: University of Manchester Institute of Science and Technology, Manchester, M60, 1QD, UK

International Journal of Information Technology & Decision Making (IJITDM), 2004, vol. 03, issue 03, 419-428

Abstract: An approach for estimating attribute weight is proposed, which is addressed to the problem inverse to the aggregation assessment based on a hierarchy of attributes. Evidential reasoning framework is employed since the assessment on some basic attributes may be uncertain and incomplete. As a by-product, a simple formula for evidence combination for our special case is obtained. The weights are estimated based on the preference given by the decision-maker, and represented as intervals. The more abundant preference the decision-maker shows, the clearer the relation among the basic attributes.

Keywords: Weight estimation; evidential reason; non-linear programming (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0219622004001124

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