An MOLP based procedure for finding efficient units in DEA models
- F. Hosseinzadeh Lotfi
- A. Noora
- G. Jahanshahloo
- J. Jablonsky
- M. Mozaffari
- J. Gerami
DOIAbstract
Data envelopment analysis, Multiple objective linear programming, Linear programming,
Data envelopment analysis, Multiple objective linear programming, Linear programming,
Data envelopment analysis (DEA) deals with the evaluation of efficiency score of peer decision makin...
Data envelopment analysis (DEA), considering the best condition for each decision making unit (DMU),...
Efficient solutions in Multi-Objective Integer Linear Programming (MOILP) problems are categorized i...
The concept of efficiency as it applies to Decision Making Units (DMUs), solutions, alternatives pla...
Abstract In this paper, by using Data Envelopment Analysis (DEA) technique a method is proposed to f...
Data Envelopment Analysis (DEA) is a mathematical programming technique for identifying efficient De...
Data envelopment analysis (DEA) and multiple objective linear programming (MOLP) can be used as tool...
Data envelopment analysis (DEA) is popularly used to evaluate relative efficiency among public or pr...
Data Envelopment Analysis (DEA) and Multiple Objective Linear Programming (MOLP) are widely used for...
In this paper a method for finding efficient solutions of a 0-1 Multiple Objective Linear (Nonlinear...
MCDA in general and multiple objective linear programming (MOLP) in particular can be used for plann...
A characteristic of data envelopment analysis (DEA) is to allow individual decision making units (DM...
A characteristic of data envelopment analysis (DEA) is to allow individual decision making units (DM...
In Data Envelopment Analysis (DEA), in addition to the efficiency score, the projection of inefficie...
Data envelopment analysis (DEA) is a mathematical approach deals with the performance evaluation pro...
Data envelopment analysis (DEA) deals with the evaluation of efficiency score of peer decision makin...
Data envelopment analysis (DEA), considering the best condition for each decision making unit (DMU),...
Efficient solutions in Multi-Objective Integer Linear Programming (MOILP) problems are categorized i...
The concept of efficiency as it applies to Decision Making Units (DMUs), solutions, alternatives pla...
Abstract In this paper, by using Data Envelopment Analysis (DEA) technique a method is proposed to f...
Data Envelopment Analysis (DEA) is a mathematical programming technique for identifying efficient De...
Data envelopment analysis (DEA) and multiple objective linear programming (MOLP) can be used as tool...
Data envelopment analysis (DEA) is popularly used to evaluate relative efficiency among public or pr...
Data Envelopment Analysis (DEA) and Multiple Objective Linear Programming (MOLP) are widely used for...
In this paper a method for finding efficient solutions of a 0-1 Multiple Objective Linear (Nonlinear...
MCDA in general and multiple objective linear programming (MOLP) in particular can be used for plann...
A characteristic of data envelopment analysis (DEA) is to allow individual decision making units (DM...
A characteristic of data envelopment analysis (DEA) is to allow individual decision making units (DM...
In Data Envelopment Analysis (DEA), in addition to the efficiency score, the projection of inefficie...
Data envelopment analysis (DEA) is a mathematical approach deals with the performance evaluation pro...
Data envelopment analysis (DEA) deals with the evaluation of efficiency score of peer decision makin...
Data envelopment analysis (DEA), considering the best condition for each decision making unit (DMU),...
Efficient solutions in Multi-Objective Integer Linear Programming (MOILP) problems are categorized i...
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