An Efficient Procedure for Differential Weighting of Committee Members' Subjective Estimates

Abstract

For many problems, the judgements of individuals are critical data. This paper suggests how an aggregate judgement may be computed using differential weights for each judge. Basic data include proficiency rankings made by each judge for all judges. These are then used both to calculate a mean proficiency rank, and a weight based on divergence of each individual judge's rankings of all judges from the mean proficiency ranks.

^*Now at Federal University of Santa Maria, Brazil.

^*Now at Federal University of Santa Maria, Brazil.