Usage of Weights in MCDA Methods Based on DEA Results

被引:0
作者
Kuncova, Martina [1 ]
Seknickova, Jana [1 ]
机构
[1] Univ Econ, Fac Informat & Stat, Dept Econometr, W Churchill Sq 4, Prague 13067 3, Czech Republic
来源
MATHEMATICAL METHODS IN ECONOMICS (MME 2018) | 2018年
关键词
data envelopment analysis; multi-criteria evaluation of alternatives; WSM; WSA; correlation;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
In real economic analyzes we often come to a situation when it is necessary to compare selected units according to several criteria. It might be a situation of a comparison of countries, regions, municipalities, companies, products, etc. In such cases, one of the possibilities is the usage of Data Envelopment Analysis (DEA) to find efficient units, which in comparison with others achieve maximum outputs with minimum inputs. Similarly, multi-criteria decision analysis ( MCDA) methods can be used to compare units according to more criteria. These methods, however, usually require the assignment of a weight vector that takes into account the importance of the criteria. Since one of the outputs of DEA models is the weight vector of input or output indicators, the aim of this article is to analyze the possibility of using these weights in selected methods of multi-criteria evaluation of alternatives. The analysis will be performed on real data to determine the similarity of DEA and MCDA results.
引用
收藏
页码:288 / 293
页数:6
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