Minimimally biased weight determination in personnel selection.

Abstract

The 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.