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
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;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6308885
