DocumentCode
572883
Title
Research on Rough Set Theory Application in Data Fusion
Author
Wang Gang ; Zhang Wei Dong
Author_Institution
Commun. & Autom. of Command Sect., PLA Xi´an Commun. Inst., Xi´an, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
432
Lastpage
435
Abstract
Rough set theory is a mathematic method which analyses and treats vagueness and uncertainty, and offers an effective method to data fusion system. This paper compares rough set theory with D-S (Dempster Shafer) theory and fuzzy set theory, introduces some applications of rough set into data preprocessing, design of neural network architecture and data fusion system, discusses and summarizes the key technology, current status and the trends of rough set application in data fusion.
Keywords
fuzzy set theory; mathematical analysis; neural nets; rough set theory; sensor fusion; D-S theory; Dempster Shafer theory; data fusion system; data preprocessing; fuzzy set theory; mathematic method; neural network architecture; rough set theory application; D-S evidential theory; data fusion; fuzzy set theory; neural network; rough set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6308885
Filename
6308885
Link To Document