Efficiency assessment of Turkish power plants using data envelopment analysis

Energy ◽  
2007 ◽  
Vol 32 (8) ◽  
pp. 1484-1499 ◽  
Author(s):  
Kemal Sarıca ◽  
Ilhan Or
Keyword(s):  
Data Envelopment Analysis ◽  
Power Plants ◽  
Data Envelopment ◽  
Efficiency Assessment ◽  
Using Data

Comparative Efficiency Assessment of Primary Care Service Delivery Models Using Data Envelopment Analysis

2011 ◽  
Vol 37 (1) ◽  
pp. 85-109 ◽  
Author(s):  
Olga Milliken ◽  
Rose Anne Devlin ◽  
Victoria Barham ◽  
William Hogg ◽  
Simone Dahrouge ◽  
...  
Keyword(s):  
Primary Care ◽  
Data Envelopment Analysis ◽  
Service Delivery ◽  
Care Service ◽  
Data Envelopment ◽  
Comparative Efficiency ◽  
Service Delivery Models ◽  
Efficiency Assessment ◽  
Using Data ◽  
Delivery Models

scholarly journals Data envelopment analysis with fuzzy complex numbers; with an empirical case on power plants of Iran

2020 ◽  
Author(s):  
Mahmood Esfandiari ◽  
Saber Saati
Keyword(s):  
Data Envelopment Analysis ◽  
Power Plants ◽  
Complex Numbers ◽  
Complex Data ◽  
Data Envelopment ◽  
Steam Power ◽  
Dea Model ◽  
Steam Power Plants ◽  
Using Data ◽  
Α Level

Using Data Envelopment Analysis (DEA) in complex environment is an idea that has recently presented for measuring the relative efficiencies of a set of Decision Making Units (DMUs) with complex inputs and outputs. The values of the input and output data in real-world problems appear sometimes as fuzzy complex number. For dealing with these types of data in DEA, we need to design a new model. This paper proposes a DEA model with triangular fuzzy complex numbers and solve it by using the concept of the data size and the α-level approach. This method transforms DEA model with fuzzy complex data to a linear programing problem with crisp data. In the following, a ranking model is also developed using the above approach to rank the efficient DMUs. The proposed method is presented for the first time by the authors and there is no similar method. Finally, we present a case study in the generators of the steam power plants to demonstrate the applicability of the proposed methods in the power industry.

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