Tugas metode penelitian ringkasan jurnal Considering undesirable variables in PCA-DEA method: a case of road safety evaluation in Iran
Considering undesirable variables in PCA-DEA method: a case of road safety evaluation in Iran Data envelopment analysis (DEA) is a linear programming based technique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparisons difficult. This tutorial paper introduces the technique and uses an example to show how relative efficiencies can be determined and targets for inefficient units set. The paper also considers a number of practical issues of concern in applying the technique. Standard DEA models rely on some restrictive assumptions, e.g. variables need to be strictly positive and as independent as possible, increasing inputs and decreasing outputs are not allowed (treating undesirable variables), excessive number of variables toward DMUs often arising discrimination problems (considering efficient DMUs as inefficient and vice versa) and so on. A unique feature of this paper is proposing a new meth...