Title :
Representation of interaction in different classifiers with fuzzy measure
Author :
Ma, Hong-yan ; Zhao, Li
Author_Institution :
Hebei Univ., Baoding, China
Abstract :
Fuzzy measure and integral are widely used in Multiple Classifier System (MCS). This paper focus on the representation of interaction in different classifiers with fuzzy measure. Using importance index and interaction index to measure the interaction in different classifiers. A simple example is included to illustrate our opinion.
Keywords :
fuzzy set theory; pattern classification; MCS; fuzzy measure; importance index; interaction index; interaction representation; multiple classifier system; Additives; Cybernetics; Finite element methods; Fuzzy sets; Indexes; Machine learning; Pattern recognition; Fuzzy measure; Importance index; Interaction index; Multiple classifier system;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016676
