Benchmark Forecasting in Data Envelopment Analysis for Decision Making Units
Although DEA is a powerful method in evaluating DMUs, it does have some limitations. One of the limitations of this method is the result of the evaluation is based on previously data and the results are not proper for forecasting the future changes. So For this purpose, we design feedback loops for forecasting inputs and outputs through system dynamics and simulation. Then we use DEA model to forecast the efficiency.
Background and Objectives: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use data envelopment analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determi...متن کامل
In this paper we present a recurrent neural network model to recognize efficient Decision Making Units(DMUs) in Data Envelopment Analysis(DEA). The proposed neural network model is derived from an unconstrained minimization problem. In theoretical aspect, it is shown that the proposed neural network is stable in the sense of lyapunov and globally convergent. The proposed model has a single-laye...متن کامل
Ranking Efficient Decision Making Units in Data Envelopment Analysis based on Changing Reference Set
One of the drawbacks of Data Envelopment Analysis (DEA) is the problem of lack of discrimination among efficient Decision Making Units (DMUs). A method for removing this difficulty is called changing reference set proposed by Jahanshahloo and et.al (2007). The method has some drawbacks. In this paper a modified method and new method to overcome this problems are suggested. The main advantage of...متن کامل
Increasing the discrimination power the decision making units based on reducing dispersion of weights in the data envelopment analysis
Data envelopment analysis which is a nonparametric technique for evaluating relative efficiency of the decision making units with multiple inputs and outputs, has been a very popular method among researchers. While this nonparametric technique is popular, it has some drawbacks such as lack of discrimination in efficient units and weights dispersion .The present study, which is a model based on ...متن کامل
The cross-efficiency evaluation is an effective method to evaluate the decision making units (DMUs) with the nonnegative inputs and outputs in data envelopment analysis (DEA) and can be performed with the different formulations. But, in some situations the DMUs encounter with the negative inputs and outputs. This paper generalizes the cross efficiency evaluation for the DMUs with the negative i...متن کامل
The Comparison of Principal Component Analysis and Data Envelopment Analysis in Ranking of Decision Making Units
In this study, Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA) were compared when these two methods are used for ranking Decision Making Units (DMU) with multiple inputs and outputs. DEA, a nonstatistical technique, is a methodology using a linear programming model for evaluating and ranking DMU’s performance. PCA, a multivariate statistical method, uses new measures defi...متن کامل
دوره 13 شماره 1
صفحات 29- 42
تاریخ انتشار 2021-09-01
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