examining the impacts of data modification is considered as sensitivity analysis. a lot of studies have considered the data modification of inputs and outputs in dea. the issues which has not heretofore been considered in dea sensitivity analysis is modification in the number of inputs and (or) outputs and determining the impacts of this modification in the status of efficiency of dmus. this pa...

introduction: iran's social security organization provides hospital services through direct treatment system (hospitals owned by the organization) and indirect treatment system (purchasing of hospital services and other health care services from other providers). the current research aims to assess technical performance and determine the relationship between activity size and efficiency level o...

as regards of supper efficiency models which increased thediscrimination power of the standard dea models, still infeasibility mayoccure. in literature there exists some models overcome this difficulty.in this paper a new procedure has been mooted in order to remove thisshortcoming in a way that both input savings and output surplus arebeing considered. this procedure deals with nonradial chang...

performance evaluation has been developed in the form of management schools along by managerial thought development. banks and financial institutes are one of the most important economic sections to each country which by receipts and payments directing and organizing facilitate business and commercial transactions and develop markets and economic growth and as the main pillars in directing and ...

Financial efficiency evaluations in a network system, considering intermediate products, nowadays consideres great importance for managers. In the process of doing business analysis, each stage of in a network is of particular importance. In this paper, with the help of Data Envelopment Analysis (DEA), the performance of a network with feedbacks are considerd. In this assessment, financia...

The paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural network model is used to estimate the inefficiency of DMUs in large datasets.