TY - GEN
T1 - A decision tree-based method for selection of input-output factors in DEA
AU - Lim, Sungmook
PY - 2008
Y1 - 2008
N2 - We propose a method for selection of input-output factors in DEA. It is designed to select better combinations of input-output factors that are well suited for evaluating substantial performance of DMUs. Several selected DEA models with different combinations of input-output factors are evaluated, and the relationship between the computed efficiency scores and a single performance criterion of DMUs is investigated using decision tree. Based on the results of decision tree analysis, a relatively better DEA model can be chosen, which is expected to effectively assess the true performance of DMUs. We illustrate the effectiveness of the proposed method by applying it to the efficiency evaluation of 101 companies in steel and metal industry listed on the Korean stock market.
AB - We propose a method for selection of input-output factors in DEA. It is designed to select better combinations of input-output factors that are well suited for evaluating substantial performance of DMUs. Several selected DEA models with different combinations of input-output factors are evaluated, and the relationship between the computed efficiency scores and a single performance criterion of DMUs is investigated using decision tree. Based on the results of decision tree analysis, a relatively better DEA model can be chosen, which is expected to effectively assess the true performance of DMUs. We illustrate the effectiveness of the proposed method by applying it to the efficiency evaluation of 101 companies in steel and metal industry listed on the Korean stock market.
KW - Benchmarking
KW - Data envelopment analysis
KW - Decision trees
KW - Non-parametric methods
KW - Statistical learning
UR - http://www.scopus.com/inward/record.url?scp=62749178982&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:62749178982
SN - 1601320728
SN - 9781601320728
T3 - Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications
SP - 762
EP - 769
BT - Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008 and Proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications
T2 - 2008 International Conference on Artificial Intelligence, ICAI 2008 and 2008 International Conference on Machine Learning; Models, Technologies and Applications, MLMTA 2008
Y2 - 14 July 2008 through 17 July 2008
ER -