Title :
Notice of Retraction
Choquet integral regression algorithm based on Liu´s generalized Lambda-measure and N-density
Author :
Hsiang-Chuan Liu ; Chuan-Yuan Chen
Author_Institution :
Dept. of Bioinf. & Med. Inf., Asia Univ., Taichung, Taiwan
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, a novel Choquet integral regression algorithm based on Liu´s generalized Lambda measure and the new fuzzy density, N-density is proposed. A real data set about Students Valuing Science with 5- fold cross-validation MSE is conducted, for comparing the performances of this new algorithm with the Choquet integral regression algorithm based on two well-known fuzzy measures, P-measure and lambda-measure, and two fuzzy density function, R-density and N-density, respectively, and two traditional regression model, multiple regression model and ridge regression model, the results show that the proposed new algorithm has the best performance.
Keywords :
fuzzy set theory; integral equations; regression analysis; Choquet integral regression algorithm; Liu´s generalized Lambda-measure; N-density; R-density; data set; fuzzy density function; Classification algorithms; Computational modeling; Data models; Density functional theory; Density measurement; Educational institutions; Forecasting; Choquet integral; Lambda- measure; N-density; fuzzy density; fuzzy measure;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022124
