Evaluation of efficiency of each of the DMUs (Decision Making Units) in a company is a very important task. Thus, the studies of evaluation of efficiency are being actively carried out, based on production function. Until quite recently, the loglinear production function (the Cobb-Douglas function) has been used for evaluation purposes. The loglinear model evaluates the DMUs by measuring the av...

Optimization of diagnostic efficiency by mathematic modeling rather than logic is getting momentum in the medical spectrum using computer data analysis. Effective evaluation of disease diagnosis is considered to be one of the research problems getting relief and reduction of cost. Thus the diagnosis of Acute Myocardial Infarction (AMI) by DEA-ANN method is a significant development received by ...

This paper discusses returns to scale (RTS) in data envelopment analysis (DEA) for each of the presently available types of models. 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 vec...

data envelopment analysis (dea) is a widely recognized approach for evaluating the efficiencies of decision making units (dmus). because of easy and successful application and case studies, dea has gained much attention and widespread use by business and academy researchers. the conventional dea models (e.g. bcc and ccr) make an assumption that input and output data are exact values on a ratio ...

The fabless integrated circuit (IC) design is one of the most important sectors of the semiconductor industry. In 2010, the total revenue of the fabless IC design sector had already hit US$59.6 billion, accounting for one-fifth of the total semiconductor industry revenue. Thus, understanding the efficiency of fabless IC design houses is critical not only for managers of fabless IC design houses...

An important property of production functions is the concept return to scale (RTS) as found in the literature. There are two common variations RTS in data envelopment analysis (DEA) used, constant return to scale (CRS) and variation return to scale (VRS). The envelopment surface in BCC model is VRS and this is the result of the presence of the convexity constraint in the dual model and, equival...

Abstract The study aims to determine the efficiency of undergraduate courses associated with a Brazilian Federal University contributing discussion about performance evaluation models in context Higher Education. Data envelopment analysis (DEA) is used obtain indexes that reflect ability add knowledge students during academic training period. Therefore, DEA-BCC model applied two different scena...

In banking system the evaluation of productivity and performance is key factor among fundamental concepts in management. For identify potential a bank efficiency parameter to evaluate effective system. To measure selection appropriate input-output variables one most vital issues. The suitable identification helps create model order analysis. Data Envelopment Analysis (DEA) mathematical approach...

Data envelopment analysis (DEA) is a linear programming based methodology to determine the relative performance efficiencies of homogeneous decision making units (DMUs). In real world applications, some input and output datas do not possess crisp/fuzzy essence but they possess intuitionistic fuzzy (IF) essence. So, in this study, we develop an IF BCC (IFBCC) and an IF super efficiency BCC (IFSE...