DocumentCode
467047
Title
Advances of Research in Fuzzy Integral for Classifiers´ fusion
Author
Kong, Zhizhou ; Cai, Zixing
Author_Institution
Hunan Univ., Changsha
Volume
2
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
809
Lastpage
814
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.
Keywords
fuzzy set theory; information systems; integral equations; classifier fusion; fuzzy integral research; open areas; Artificial intelligence; Automatic control; Data mining; Machine learning; Navigation; Robot control; Robotics and automation; Software engineering; Target tracking; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-2909-7
Type
conf
DOI
10.1109/SNPD.2007.422
Filename
4287793
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