in this research, efficiency of iranian forest and rangeland decision making unit was assessed using non-parametric method. inputs and outputs determined by field research and with applying a delphi method the final input and output variables selected. forty five wood-producing units (forestry plans) in three northern iranian province were studied using data envelopment analysis. the efficiency...

The current paper uses data envelopment analysis (DEA) to benchmark the leadership efficiency of civil engineers based on the leadership flexibility space diagram. Since the traditional DEA model does not fit for this problem, a simple modification has been made to enhance the L1-Norm and CCR models to tackle the problem. The engineers are considered to be the decision making unit (DMU). Questi...

Selection of an appropriate set of Information System (IS) projects is a critical business activity which is very helpful to all organizations. In this paper, after describing real IS project selection problem of Iran Ministry of Commerce (MOC), we introduce two Data Envelopment Analysis (DEA) models. Then, we show applicability of introduced models for identifying most efficient IS project fro...

This paper uses the DEA-CCR and the DEA-BCC models to evaluate the performance of Greek life insurance companies in the period 1994 to 2003, combining operational and financial variables. These models identify adequately the inefficient companies, but are weak in discriminating among those found to be efficient. To improve the results, we employ the Cross-Efficiency and the SuperEfficiency mode...

In this study, Data Envelopment Analysis (DEA) models are improved by employing spherical fuzzy sets (SFSs), which is an extension of generalized sets. SFSs were recently introduced as a novel type set that allows decision-makers to express their level uncertainty directly. As result, provide more preferred domain for decision-makers. Fundamental Charnes-Cooper-Rhodes (CCR) model discussed on t...

This chapter discusses returns to scale (RTS) in data envelopment analysis (DEA). The BCC and CCR models are treated in input oriented forms while the multiplicative model is treated in output oriented form. (This distinction is not pertinent for the additive model which simultaneously maximizes outputs and minimizes inputs in the sense of a vector optimization.) Quantitative estimates in the f...

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 ...

Recently, in Data Envelopment Analysis (DEA) methodology, there are two type of efficiency measurement; radial and non-radial measure represented by the CharnesCooper-Rhodes (CCR) and the slack-based measure (SBM) model respectively. There are two characteristics to the target in oriented CCR model; the input minimization (output maximization) plus any further reduction (expansion) indicated by...

the aim of this study was to assess the relative efficiency of the iranian forest management plans using the non-parametric method – data envelopment analysis (dea) as a well-known and robust technique for measuring the relative efficiency of organizations. the relative efficiency of forest management plans was calculated using the most frequency dea models such as global technical efficiency (...

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. The standard DEA models assume that all inputs and outputs are crisp and can be changed at the discretion of management. While crisp input and output data are fundamentally indispensable in the standard DEA evalua...