Analysis to the Contributions from Feature Attributes in Nonlinear Classification Based on the Choquet Integral

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Aug 2010Publisher:IEEEJournal:2010 IEEE International Conference on Granular Computing

Authors: Jing Chu; Zhenyuan Wang; Yong Shi 0001;

doi: 10.1109/grc.2010.122

Analysis to the Contributions from Feature Attributes in Nonlinear Classification Based on the Choquet Integral

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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.

Related Organizations

Chinese Academy of Sciences
China (People's Republic of)
University of Nebraska at Omaha
United States

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