In this study two different hybrid ranking approaches based on data envelopment analysis and outranking relations for ranking alternatives are proposed. Outranking relations are widely used in Multicriteria Decision Making (MCDM) for ranking the alternatives and appropriate in situations when we have limited information on the preference structure of the decision maker. Yet to apply these methods DM should provide exact values for method parameters (weights, thresholds etc.) as well as basic information such as alternative scores. DEA is used for classification of decision making units according to their efficiency scores in a non-parameteric way. The proposed hybrid approaches utilize PROMETHEE (a well known method based on outranking rela...
Summarization: Classification problems involve the assignment of a discrete set of alternatives desc...
Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between effic...
As regards of the necessity of ranking ecient units dierent Data Envelopment Analysis (DEA) models a...
This thesis addresses the problem of ranking multi-criteria alternatives. A Data Envelopment Analysi...
Multicriteria decision making (MCDM) provides tools for the decision makers (DM) to solve complex pr...
PROMETHEE is a powerful method, which can solve many multiple criteria decision making (MCDM) proble...
AbstractScoring rules are an important disputable subject in data envelopment analysis (DEA). Variou...
Data envelopment analysis (DEA) and multiple criteria decision aid (MCDA) are two well-known approac...
We propose a data envelopment analysis (DEA)-based approach to ranking multi-criteria alternatives. ...
AbstractScoring rules are an important disputable subject in data envelopment analysis (DEA). Variou...
In the course of improving various abilities of data envelopment analysis (DEA) models, many investi...
ABSTRACT Various methods, known as Multiple Criteria Decision Making Methods (MCDM), have been propo...
ABSTRACT Various methods, known as Multiple Criteria Decision Making Methods (MCDM), have been propo...
In this thesis, two new ranking methods have been proposed in the scope of Data Envelopment Analysi...
The outranking analysis has been frequently used to deal with the complex decisions involving qualit...
Summarization: Classification problems involve the assignment of a discrete set of alternatives desc...
Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between effic...
As regards of the necessity of ranking ecient units dierent Data Envelopment Analysis (DEA) models a...
This thesis addresses the problem of ranking multi-criteria alternatives. A Data Envelopment Analysi...
Multicriteria decision making (MCDM) provides tools for the decision makers (DM) to solve complex pr...
PROMETHEE is a powerful method, which can solve many multiple criteria decision making (MCDM) proble...
AbstractScoring rules are an important disputable subject in data envelopment analysis (DEA). Variou...
Data envelopment analysis (DEA) and multiple criteria decision aid (MCDA) are two well-known approac...
We propose a data envelopment analysis (DEA)-based approach to ranking multi-criteria alternatives. ...
AbstractScoring rules are an important disputable subject in data envelopment analysis (DEA). Variou...
In the course of improving various abilities of data envelopment analysis (DEA) models, many investi...
ABSTRACT Various methods, known as Multiple Criteria Decision Making Methods (MCDM), have been propo...
ABSTRACT Various methods, known as Multiple Criteria Decision Making Methods (MCDM), have been propo...
In this thesis, two new ranking methods have been proposed in the scope of Data Envelopment Analysi...
The outranking analysis has been frequently used to deal with the complex decisions involving qualit...
Summarization: Classification problems involve the assignment of a discrete set of alternatives desc...
Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between effic...
As regards of the necessity of ranking ecient units dierent Data Envelopment Analysis (DEA) models a...