%0 Journal Article
%T The Use of YanaiĄ¯s Generalized Coefficient of Determination to Reduce the Number of Variables in DEA Models
%A Mauricio Benegas
%J American Journal of Operations Research
%P 187-200
%@ 2160-8849
%D 2017
%I Scientific Research Publishing
%R 10.4236/ajor.2017.73013
%X This paper proposes a new method to reduce the dimensionality of input and output spaces in DEA models. The method is based on YanaiĄ¯s Generalized Coefficient of Determination and on the concept of pseudo-rank of a matrix. In addition, the paper suggests a rule to determine the cardinality of the subset of selected variables in a way to gain the maximal discretionary power and to suffer a minimal informational loss.
%K DEA
%K YanaiĄ¯s Generalized Coefficient of Determination
%K Pseudo-Rank
%K Dimension Reduction
%K Improving Discrimination
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=76246