Title :
Advances of Research in Fuzzy Integral for Classifiers´ fusion
Author :
Kong, Zhizhou ; Cai, Zixing
Author_Institution :
Hunan Univ., Changsha
fDate :
July 30 2007-Aug. 1 2007
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;
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
DOI :
10.1109/SNPD.2007.422
