Using DEA, A new concept for multiple attribute decision making and analysis, relative efficiency and weak relative efficiency is proposed with its relations to the Pareto efficiency being discussed, its economic interpretation and geometrical meaning and existence theorem being given. On the basis of this concept, a new method of unified evaluations and decision making and analysis is designed. Finally, some useful suggestion are given for the applications in R&D project selection and science & technology achievement evaluations. Key words: DEA, multiple attribute decision making, project selection and evaluatio
Data envelopment analysis (DEA) is popularly used to evaluate relative efficiency among public or pr...
We propose a data envelopment analysis (DEA)-based approach to ranking multi-criteria alternatives. ...
A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DM...
Data Envelopment Analysis (DEA) is used for calculating of relative efficiency and then ranking of d...
The purpose of this paper is to study some proposals to use Data Envelopment Analysis (DEA) as a too...
summary:Data envelopment analysis (DEA) is a methodology for measuring best relative efficiencies of...
This paper demonstrates a connection between Data Envelopment Analysis (DEA) and a non-interactive e...
How to determine weights for attributes is one of the key issues in multiple attribute decision maki...
Data envelopment analysis (DEA) is one of the most popular techniques for measuring relative efficie...
A hybrid approach of DEA (data envelopment analysis) and TOPSIS (technique for order performance (pr...
A new model is introduced in the process of evaluating efficiency value of decision making units (DM...
The purpose of multi-criteria decision models is to help decision maker to evaluate each alternative...
The paper describes a DEA-based method for multiple criteria decision making. A problem of multiple ...
AbstractIt has been widely recognized that data envelopment analysis (DEA) lacks discrimination powe...
In this article we present a method of multi-attribute choice, based on an application of linear pro...
Data envelopment analysis (DEA) is popularly used to evaluate relative efficiency among public or pr...
We propose a data envelopment analysis (DEA)-based approach to ranking multi-criteria alternatives. ...
A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DM...
Data Envelopment Analysis (DEA) is used for calculating of relative efficiency and then ranking of d...
The purpose of this paper is to study some proposals to use Data Envelopment Analysis (DEA) as a too...
summary:Data envelopment analysis (DEA) is a methodology for measuring best relative efficiencies of...
This paper demonstrates a connection between Data Envelopment Analysis (DEA) and a non-interactive e...
How to determine weights for attributes is one of the key issues in multiple attribute decision maki...
Data envelopment analysis (DEA) is one of the most popular techniques for measuring relative efficie...
A hybrid approach of DEA (data envelopment analysis) and TOPSIS (technique for order performance (pr...
A new model is introduced in the process of evaluating efficiency value of decision making units (DM...
The purpose of multi-criteria decision models is to help decision maker to evaluate each alternative...
The paper describes a DEA-based method for multiple criteria decision making. A problem of multiple ...
AbstractIt has been widely recognized that data envelopment analysis (DEA) lacks discrimination powe...
In this article we present a method of multi-attribute choice, based on an application of linear pro...
Data envelopment analysis (DEA) is popularly used to evaluate relative efficiency among public or pr...
We propose a data envelopment analysis (DEA)-based approach to ranking multi-criteria alternatives. ...
A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DM...