Analysis to the Contributions from Feature Attributes in Nonlinear Classification Based on the Choquet Integral
Jing Chu, Zhenyuan Wang, Yong Shi · 2010
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.