An application of data envelopment analysis in telephone offices evaluation with partial data

The presence of partial data motivates the need to investigate how such factors can be incorporated into the existing measurement models. In this paper, a procedure is proposed for incorporating a set of factors with partial data into the DEA structure and restricting factor weights. The first DEA formulation is a complicated non-linear model issued from the set of partial data. In order to transform the first formulation into an ordinary linear programming model, both a linear scale transformation and variable change technique are used. The resulting linear programming model is then applied to the efficiency evaluation of telephone offices.