scholarly journals A New Approach to Solve Fuzzy Data Envelopment Analysis Model Based on Uncertainty

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 167300-167307
Author(s):  
Maryam Olfati ◽  
Wenjun Yuan ◽  
Asad Khan ◽  
Seyed Hadi Nasseri
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Analysis Model ◽  
New Approach ◽  
Model Based ◽  
Fuzzy Data Envelopment Analysis

Energy management in crop production using a novel fuzzy data envelopment analysis model

2018 ◽  
Vol 52 (2) ◽  
pp. 595-617 ◽  
Author(s):  
Mohammad Izadikhah ◽  
Alireza Khoshroo
Keyword(s):  
Data Envelopment Analysis ◽  
Crop Production ◽  
Fuzzy Variable ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Dea Model ◽  
Model Based ◽  
Smoke Pollution ◽  
Fuzzy Dea

Data envelopment analysis is a relatively “data oriented” approach to measure the efficiency of a set of decision making units which transform multiple inputs into multiple outputs. However, some production processes may generate undesirable outputs like smoke pollution or waste. On the other hand, in many situations, such as a manufacturing system, a production process or a service system, inputs and outputs can be considered as a fuzzy variable. Thus, this paper has presented a new non-radial DEA model based on a modification of Enhanced Russell Model (ERM model) in the presence of an undesirable output in a fuzzy environment. Hereafter, a method for solving the proposed fuzzy DEA model based on the concept of alpha cut and possibility approach is presented. A useful stochastic closeness coefficient is also proposed to present a complete ranking. The proposed methodology is applied to evaluate the efficiencies of barley production farms in 22 provinces in Iran.

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