The Classification of Investment Companies Using the Interval Network Data Envelopment Analysis Model

The main purpose of this paper is to propose an approach for performance measurement, classification and ranking of investment companies (ICs) by considering internal structure and uncertainty. So, in order to reach this goal, the interval network data envelopment analysis (INDEA) model are extended. This model is capable to modeling the two-stage efficiency with intermediate measures in a single implementation. Additionally, the proposed INDEA models of the paper is implemented for a real case studyof ICs in Tehran Stock Exchange (TSE) and Illustrative results show that proposed INDEA models is effective in order to classification and ranking of investment companies.

کلیدواژه ها:

Data Envelopment Analysis (DEA) ، Network Data Envelopment Analysis (NetDEA) ، Interval Data ، Uncertainty ، Investment Company ، Tehran Stock Exchange (TSE)