DocumentCode
1669957
Title
A New Algorithm for Fuzzy Density in Classifiers´ Fusion
Author
Kong, Zhizhou ; Wei, Lai ; YANG, Shenggang ; GUAN, Dong ; Cai, Zixing
Author_Institution
Coll. of Stat., Hunan Univ., Changsha
fYear
2008
Firstpage
1920
Lastpage
1922
Abstract
Fuzzy Integral is a valid method which can decrease the uncertainty of making decision. During this researching field how to get the fuzzy density is a difficult problem ,and is also a hotspot. This paper brings forward a new algorithm to determine fuzzy density compared with the existing algorithms this method the emulational result testifies its validity.
Keywords
classification; decision making; fuzzy set theory; integration; sensor fusion; classifiers fusion; decision making; fuzzy density determination algorithm; fuzzy integral method; Area measurement; Computer aided instruction; Educational institutions; Electronic mail; Finance; Fuzzy sets; Information science; Statistics; Testing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.809
Filename
4535689
Link To Document