Single Model Approach to Evaluate Optimistic and Pessimistic Congestion in Fuzzy Data Envelopment Analysis
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Authors
Fatemeh Baghbani Abootaleb
- Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
Alireza Alinezhad
- Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
Mehdi Yazdani
- Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
Abstract
Data Envelopment Analysis (DEA) is an almost new data oriented approach for measuring the performance of series of homogenous entities named Decision Making Unit (DMU) with the ability to alter multiple inputs into multiple outputs. This article investigates the development of congestion model with regard to fuzzy input and output. Also, a new concept called as optimistic and pessimistic are introduced for congestion model. To create this concept, the upper and lower bound of efficiency, outputs and inputs are required. This concept is provided with α-cut approach in fuzzy data envelopment analysis (FDEA). In order to evaluate the efficiency of given models, data of some universities of Iran are applied. The results reveal the proper validity of proposed model.
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ISRP Style
Fatemeh Baghbani Abootaleb, Alireza Alinezhad, Mehdi Yazdani, Single Model Approach to Evaluate Optimistic and Pessimistic Congestion in Fuzzy Data Envelopment Analysis, Journal of Mathematics and Computer Science, 9 (2014), no. 4, 389 - 400
AMA Style
Abootaleb Fatemeh Baghbani, Alinezhad Alireza, Yazdani Mehdi, Single Model Approach to Evaluate Optimistic and Pessimistic Congestion in Fuzzy Data Envelopment Analysis. J Math Comput SCI-JM. (2014); 9(4):389 - 400
Chicago/Turabian Style
Abootaleb, Fatemeh Baghbani, Alinezhad, Alireza, Yazdani, Mehdi. "Single Model Approach to Evaluate Optimistic and Pessimistic Congestion in Fuzzy Data Envelopment Analysis." Journal of Mathematics and Computer Science, 9, no. 4 (2014): 389 - 400
Keywords
- Data envelopment analysis
- fuzzy inputs and outputs
- α-cut approach
- optimistic and pessimistic congestion.
MSC
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