scholarly journals A novel Data Envelopment Analysis model with complex numbers: measuring the efficiency of electric generators in steam power plants

2019 ◽  
Vol 29 (4) ◽  
Author(s):  
Mahmood Esfandiari ◽  
Saber Saati ◽  
Mehrzad Navabakhsh ◽  
Kaveh Khalili-Damghani
Keyword(s):  
Data Envelopment Analysis ◽  
Power Plants ◽  
Data Envelopment Analysis Model ◽  
Complex Numbers ◽  
Data Envelopment ◽  
Analysis Model ◽  
Steam Power ◽  
Steam Power Plants ◽  
Electric Generators

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.

scholarly journals A knowledge system proposal with weighted goal programming approach for multi-criteria dea model and an application

2021 ◽  
Vol 12 (2) ◽  
pp. 422-438
Author(s):  
Tugba Polat ◽  
Safak Kiris
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Goal Programming ◽  
Evaluation Process ◽  
Knowledge System ◽  
Programming Approach ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Weighted Goal Programming

In today's competitive environment, enterprises should use their resources correctly; they should continuously improve themselves and work efficiently. It is important to evaluate the performances of the units under the same conditions in enterprises according to each other, to see the current situations and to determine appropriate improvements in necessary points. One of the commonly used approaches to performance evaluation is Data Envelopment Analysis. Many approaches have been developed for the Data Envelopment Analysis model, and Goal programming using in multi-objective decision making solutions approaches is one of them. Goal Programming gives decision-makers the opportunity to evaluate many objectives together in the decision-making process. In this study, classical Data Envelopment Analysis and weighted goal programming approach for multi-criteria data envelopment analysis model was applied in the evaluation process of the projects worked in an automotive supplier industry. A knowledge system has also been proposed in order to evaluate the effectiveness of the projects periodically and to include new projects or conditions into the evaluation.

Sign in / Sign up

Export Citation Format

Share Document