Pejman Peykani
School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
[ 1 ] - Interval network data envelopment analysis model for classification of investment companies in the presence of uncertain data
The main purpose of this paper is to propose an approach for performance measurement, classification and ranking the investment companies (ICs) by considering internal structure and uncertainty. In order to reach this goal, the interval network data envelopment analysis (INDEA) models are extended. This model is capable to model two-stage efficiency with intermediate measures i...
[ 2 ] - Fuzzy Data Envelopment Analysis Approach for Ranking of Stocks with an Application to Tehran Stock Exchange
The main goal of this paper is to propose a new approach for efficiency measurement and ranking of stocks. Data envelopment analysis (DEA) is one of the popular and applicable techniques that can be used to reach this goal. However, there are always concerns about negative data and uncertainty in financial markets. Since the classical DEA models cannot deal with negative and imprecise values, i...
[ 3 ] - Measuring Performance, Estimating Most Productive Scale Size, and Benchmarking of Hospitals Using DEA Approach: A Case Study in Iran
Background and Objectives: The goal of current study is to evaluate the performance of hospitals and their departments. This manuscript aimed at estimation of the most productive scale size (MPSS), returns to scale (RTS), and benchmarking for inefficient hospitals and their departments. Methods: The radial and non-radial data envelopment analysis (DEA) ap...
[ 4 ] - Measuring Productivity Changes of Hospitals in Tehran: The Fuzzy Malmquist Productivity Index
Background and Objectives: The purpose of this paper is to suggest a novel method to measure the productivity changes of hospitals over time in the presence of linguistic variables along with fuzzy data. Methods: Applying the popular and applicable approaches including data envelopment analysis (DEA), Malmquist productivity index (MPI) and possibilistic progra...
[ 5 ] - Stock Evaluation under Mixed Uncertainties Using Robust DEA Model
Data Envelopment Analysis (DEA) is one of the popular and applicable techniques for assessing and ranking the stocks or other financial assets. It should be noted that in the financial markets, most of the times, the inputs and outputs of DEA models are accompanied by uncertainty. Accordingly, in this paper, a novel Robust Data Envelopment Analysis (RDEA) model, which is capable to be used in t...
[ 6 ] - Window Network Data Envelopment Analysis: An Application to Investment Companies
In this study, the window network data envelopment analysis (WNDEA) model will be proposed, that is capable to be used in the presence of panel data. Additionally, the proposed model is applied to evaluate the dynamic efficiency of 5 investment companies in Tehran stock exchange during the period from 2013 to 2017.
[ 7 ] - ارزیابی عملکرد سهام طی دوره های زمانی مختلف تحت شرایط عدم قطعیت: رویکرد تحلیل پوششی داده های پنجره ای فازی
هدف از پژوهش پیش رو، ارائه مدل تحلیل پوششی دادههای پنجرهای فازی با هدف ارزیابی عملکرد مالی سهام در خلال دورههای زمانی مختلف تحت عدم قطعیت دادهها میباشد. به عبارت دیگر در این تحقیق تلاش میشود تا یک رویکرد نوین ارزیابی عملکرد سهام با قابلیت پیاده سازی در حضور دادههای پانل غیر قطعی ارائه گردد. زیرا بهرهگیری از اطلاعات مربوط به چند دوره زمانی مختلف به جای یک دوره زمانی و هم چنین در نظر گرف...
[ 8 ] - Performance Appraisal of Research and Development Projects Value-Chain for Complex Products and Systems: The Fuzzy Three-Stage DEA Approach
The purpose of the current research is to provide a performance appraisal system capable of considering the value chain network structure of research and development (R&D) projects for Complex products and systems (CoPS) under uncertainty of data. Therefore, in order to achieve this goal, a network data envelopment analysis (NDEA) approach and the possibilistic programming to provide a new fuzz...
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