data envelopment analysis (dea) as a non-parametric method for efficiency measurement allows decision making units (dmus) to select the most advantageous weight factors in order to maximize their efficiency scores.  in most practical applications of dea presented in the literature, the presented models assume that all inputs are fully desirable. however, in many real situations undesirable inpu...

background: during the last decades, the number of dentistry units increased significantly across the country. the aim of this study was to assess the efficiency of dental units of iran provinces regarding dental health inputs and outputs using data envelopment analysis approach. methods: in this applied descriptive-analytical study, the study population included all of iran 31 provinces. the o...

introduction: establishing improvement in every organization requires assessment of organizational performance, planning and goal-setting to improve the performance. despite remarkable progresses occurred in recent years on designing the frameworks and performance evaluation systems, many organizations still rely on traditional criteria. therefore, according to the importance of performance eva...

objective: the aims of this study were to determine energy efficiency and co2 use pattern of grape production in zanjan province, iran by a non-parametric method of data envelopment analysis (dea). methods: initial data were collected using a face to face questionnaire from 42 orchards in abhar city of zanjan province which is one of the most important centers of grape production in iran. the d...

because of the piecewise linear nature of the data envelopment analysis (dea) frontier, the optimal multipliers of the dea models may not be unique. choosing weights from alternative optimal solutions of dual multiplier models is one of the most frequently studied subjects in the context of dea. in this paper, the authors have been inspired by the idea of cooper et al. (2011) to propose a linea...

the present study is an attempt toward evaluating the performance of portfolios and asset selectionusing cross-efficiency evaluation. cross-efficiency evaluation is an effective way of ranking decisionmaking units (dmus) in data envelopment analysis (dea). conventional dea models assume nonnegativevalues for inputs and outputs. however, we know that unlike return and skewness, varianceis the on...

performance evaluation of universities is an important issue between researchers. classic data envelopment analysis (dea) models with deterministic data have been used by many authors to measure efficiency of universities in different countries. however, dea with stochastic data are, rarely used to measure efficiency of universities. in this paper, input oriented model in stochastic data envelo...

performance   evaluation in regular periods is one of the ways in which organizations can   evaluate their performance as well as weak and strong points unifiedly and   precisely. these days, mathematical models are also used to evaluate the   efficiency and productivity of various units. these units are a collection of   education, research and service activities as input and output factors an...

in the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. in these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. this paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. in the prese...