Data Envelopment Analyses
mohammad reza mozaffari; Fatemeh Dadkhah; Mehdi Abbasi
Abstract
Purpose: The purpose of this paper is to present fully fuzzy value efficiency model and fully fuzzy value efficiency with ratio data model and determine DMU targets by solving them. It is considerable that to find targets of decision making units (DMUs) in data envelopment analysis, usually the required ...
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Purpose: The purpose of this paper is to present fully fuzzy value efficiency model and fully fuzzy value efficiency with ratio data model and determine DMU targets by solving them. It is considerable that to find targets of decision making units (DMUs) in data envelopment analysis, usually the required exact data and information are not available. In this situation using mathematical models with fuzzy parameters and decision making variables can be useful. Also, by using value efficiency analysis, the opinions of manager can be considered in determining DMU targets.Methodology: Here, the linear programming models which all parameters and decision variables are triangular fuzzy numbers are defined as fully fuzzy linear programming. Each proposed full fuzzy model is converted to a triple objective non-fuzzy linear programming model and solved by the lexicographic method.Findings: Research project targets in a university of Iran were determined by creating and solving proposed mathematical models.Originality/Value: To present and solve fully fuzzy value efficiency model and fully fuzzy value efficiency with ratio data model and determine DMU targets are the innovations of this research. It is considerable that presenting the results as fuzzy numbers can be applied to evaluate DMUs.
Data Envelopment Analyses
Ehsan Jamasb Ghalati; Mohammadreza Mozaffari; Kazem Etemad
Abstract
Purpose: This study was carried out to propose cost and revenue models for evaluating road and urban construction and development projects in Shiraz (Iran) using Data Envelopment Analysis (DEA) and DEA based ratio data, (DEA-R) techniques. Today, we are encountering controllable and uncontrollable data ...
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Purpose: This study was carried out to propose cost and revenue models for evaluating road and urban construction and development projects in Shiraz (Iran) using Data Envelopment Analysis (DEA) and DEA based ratio data, (DEA-R) techniques. Today, we are encountering controllable and uncontrollable data in some projects. In this research, cost and revenue efficiency models were proposed considering controllable and uncontrollable indicators.Methodology: In this research, cost and revenue efficiency model with controllable and uncontrollable indicators in DEA and DEA-R is presented, also by measuring cost and revenue efficiency with controllable and uncontrollable indicators to compare the results between these two models Been paid.Findings: By comparing the results between cost and revenue efficiency models with controllable and uncontrollable indicators in DEA and DEA-R, it was concluded that it is not possible to make a logical comparison between them. But the proposed models can be important in order to use the input to output ratios. In some decision-making units, similar behavior may be present in DEA and DEA-R, but it is not a criterion for general comparison.Originality/Value: In this paper, a model for measuring cost and revenue efficiency with controllable and uncontrollable indicators was presented, which can be an introduction to provide more models for measuring cost and revenue efficiency under real conditions.