Advances of Research in Fuzzy Integral for Classifiers' fusion

Authors:
Zhizhou Kong;Zixing Cai
Affiliations:
Hunan University, China;Central South University, China
Venue:
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 02
Year:
2007

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Abstract

Fuzzy Integral is compared with other two methods which are hot in studying of classifiers' fusion. The standard model of Fuzzy Integral and its general solution are introduced. Then, the state of the art and the challenge problems in Fuzzy Integral research field are discussed. The algorithms for standard and extended Fuzzy Integral models are briefly analyzed. Finally, the open areas of theoretic and applied research in Fuzzy Integral are brought forward.