the productivity change of a decision making unit (dmu) between two time periods can be evaluated by the malmquist productivity index. in this study, we propose a method to compute the malmquist productivity index in several time periods (from the first to the last periods) on interval data in data envelopment analysis (dea). then, the obtained malmquist productivity index is compared with malm...

In this paper, it is assumed that the “Decision Making Units“( ) are consist of positive and negative input and output. Firstly, the optimistic and pessimistic models have been suggested by using negative data and then units with most productive scale size are measured in optimistic and pessimistic models. These productive values are compared with double frontiers and Hurwicz’s Criterion to obt...

Interval data envelopment analysis (interval DEA) deals with the problem of efficiency assessment when inputs and/or outputs decision making units (DMUs) are given as interval data. This paper focuses on ranking DMUs First, we define extreme efficient units, super score, best and worst (inefficiency) frontiers in DEA context. Then, propose a novel method based lower upper scores unit under eval...

the ways of placing decision making units (dmus) in certain clusters are found as a subject in statistics, these ways usually are heuristic. the proposed clustering approach in this article considers preferences of dmus. this study applies data envelopment analysis (dea) dmus are clustered by solving multi-objective linear problem (molp) and by considering preferences of each dmu at production ...