P omegranate product in Khash city causes this city enjoys a considerable advantage in terms of the production of this product. In this paper the performance of Khash township pomegranate producers was evaluated with a comprehensive analysis of supercharged performance. In this regard, the relevant information to complete the questionnaire in 2015 pomegranate growers in Khash city, w...

Lovell and Rouse (LR) have recently proposed a modification of the standard DEA model that overcomes the infeasibility problem often encountered in computing super-efficiency. In the LR procedure one appropriately scales up the observed input vector (scale down the output vector) of the relevant superefficient firm thereby usually creating its inefficient surrogate. An alternative procedure pro...

The current paper proposes a slack-based version of the Super SBM, which is an alternative superefficiency model for the SBM proposed by Tone. Our two-stage approach provides the same superefficiency score as that obtained by the Super SBM model when the evaluated DMU is efficient and yields the same efficiency score as that obtained by the SBM model when the evaluated DMU is inefficient. The p...

Based on the framework of the directional distance function, we conduct a systematic analysis on the measurement of super-efficiency in order to achieve two main objectives. Our primary purpose is developing two generalized directional measures of super-efficiency that completely resolve the crucial infeasibility issue, commonly arisen in the traditional super-efficiency measures. The secondary...

data envelopment analysis (dea) is one of the scientific method that computes the efficiency by using a powerful mathematics basic. data envelopment analysis is a non-parametric technique to evaluate the efficiency of a set of decision making units (dmu) with multi inputs and outputs . since dea’s models classifies decision making units into two categories of efficient and inefficient, so most ...

The objective of this paper is to present an extension to the set-based model (SBM), which is an effective technique for computing term weights based on co-occurrence patterns, for processing conjunctive and phrase queries. The intuition that semantically related term occurrences often occur closer to each other is taken into consideration. The novelty is that all known approaches that account ...