The Classification of Investment Companies Using the Interval Network Data Envelopment Analysis Model
Publish place: 14th International Industrial Engineering Conference
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC14_068
تاریخ نمایه سازی: 26 مرداد 1397
Abstract:
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.
Keywords:
Data Envelopment Analysis (DEA) , Network Data Envelopment Analysis (NetDEA) , Interval Data , Uncertainty , Investment Company , Tehran Stock Exchange (TSE)
Authors
Pejman Peykani
Faculty of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
Emran Mohammadi
Faculty of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
Fatemeh Sadat Seyed Esmaeili
Faculty of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran