Volume 17, Issue 1 (3-2020)                   jor 2020, 17(1): 67-83 | Back to browse issues page

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Ashrafi A, Amiri M. Ranking Efficient Decision Making Units Using Cooperative Game Theory Based on SBM Input-Oriented Model and Nucleolus Value. jor 2020; 17 (1) :67-83
URL: http://jamlu.liau.ac.ir/article-1-1692-en.html
Ranking Efficient Decision Making Units Using Cooperative Game Theory Based on SBM Input-Oriented Model and Nucleolus Value
A. Ashrafi * , M. Amiri
Assistant Professor, Department of Mathematics, Statistics and Computer Sciences, Semnan University, Semnan, Iran.
Abstract:   (3303 Views)
In evaluating the efficiency of decision making units (DMUs) by Data Envelopment Analysis (DEA) models, may be more than one DMU has an efficiency score equal to one. Since ranking of efficient DMUs is essential for decision makers, therefore, methods and models for this purpose are presented. One of ranking methods of efficient DMUs is cooperative game theory. In this study, Lee and Lozano models are used, which are a combination of DEA and game theory. Also, the SBM input-oriented model and the solution concept of the nucleolus value are used to rank the efficient decision making units.
Keywords: Data Envelopment Analysis (DEA), Decision Making Unit (DMU), Cooperative Game, Ranking Efficient DMUs, Nucleolus Value
Full-Text [PDF 963 kb]   (919 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/05/31 | Accepted: 2019/11/25 | Published: 2020/03/29
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