Title :
Analysis to the Contributions from Feature Attributes in Nonlinear Classification Based on the Choquet Integral
Author :
Chu, Jing ; Wang, Zhenyuan ; Shi, Yong
Author_Institution :
Res. Center on Fictitious Econ. & Data Sci., Chinese Acad. of Sci., China
Abstract :
A detailed discussion on contributions from feature attributes to the classifying attribute in the nonlinear classification model based on the Choquet integral is given in this paper. The work provides a new understanding to the geometric structure of the model with contribution rates from the feature attributes towards the classification, as well as the interaction among them.
Keywords :
geometry; integral equations; pattern classification; Choquet integral; feature attributes; geometric structure; nonlinear classification model; Additives; Biological system modeling; Computational modeling; Equations; Extraterrestrial measurements; Joints; Mathematical model; Nonadditive set functions; classification; data mining; nonlinear optimization; the Choquet integral;
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.122
