Minimally biased weight determination in personnel selection

Abstract

Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. AbstractThe derivation of weights from preference statements is subject to difficulties, some of which are due to the unreliability of the judgement of the decision maker. To overcome this Jaynes' principle of maximum entropy has been invoked and may be applied either to weights or to the linear weighted scores of the candidates in a selection problem. When candidates are relatively few the two strategies give different styles of interaction. These are discussed and illustrated by application to a problem of personnel selection.

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Ecological and Economic System Health Assessment Based on Fuzzy Set Pair Analysis: A Case Study of Northwest Region, China

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