A Simulation Study on Choquet Integral with Respect to Extensional L-Measure

摘要：

　　In this paper,an Monte Carlo simulation study method with 5-fold cross-validation MSE is used,a simulation experiment data and a real data set are conducted,for comparing the performances of a multiple linear regression model,a ridge regression model,and the Choquet integral regression model with respect to two well-known fuzzy measures,P-measure and λ-measure,and two new fuzzy measures proposed by authors previous works,L-measure and extensional L-measure,respectively.Both of the results show that the Choquet integral regression model with respect to extensional L-measure has the best performance.

关键词： Fuzzy measure Choquet integral Simulation λ-measure Extensional L-measure

作者: Hsu-Chan Yao Hsiang-Chuan Liu Yu-Du Jheng

作者单位: Graduate Institute of Educational Measurement and Statistics, Taichung University, Taichung,41306 Ta Department of Bioinformatics and Medical Informatics, Asia University, Taichung, 41354, Taiwan ;Grad Department of Education, Taichung University, Taichung, 41306, Taiwan

会议类型: 国际会议

会议名称: the 2010 International Conference on Frontiers of Manufacturing and Design Science(第一届制造与设计科学国际会议(ICFMD 2010))

会议地点: 重庆

会议语种:英文

页码: 3647-3651

在线出版日期: 2010-12-11（万方平台首次上网日期，不代表论文的发表时间）