Application of rough set and fuzzy neural network in information handling

Proceedings - 2009 International Conference on Networking and Digital Society, ICNDS 2009

Volumn 2, Issue , 2009, Pages 36-39

  Wei, Gong ^a  

^a Communication University of China ^*  (China)

Author keywords

Fuzzy theory; Information handling; Neural network; Rough set

Indexed keywords

FUZZY THEORY; INFORMATION HANDLING; ROUGH FUZZY NEURAL NETWORKS; ROUGH SET; SCENE IMAGE; SOUND QUALITY;

ACOUSTIC VARIABLES MEASUREMENT; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SETS; IMAGE PROCESSING;

ROUGH SET THEORY;

EID: 70350050889     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNDS.2009.89     Document Type: Conference Paper

References (4)

1. Aleksandra h., Rough logic control : A new approach to automatic control? Knowledge systems group. Faculty of Electrical Engineering and computer science, Norwegian Institute of Technology, University of Sondheim, Norway,1993
2. Skowron A., Peters J., Rough sets : trends and challenges [A]. Proceeding of the 9thInternational Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computer [C]. Berlin : Springer Verlag, 2003, 25-34.
3. Xie K.M., Chen Z.H., The design and simulation of fuzzy controller based on rough sets theory, 2004 IEEE International Conference on Systems, Man and Cybernetics,2004(2) : 1366-1370.
4. Gong W. and Qi N.. Direct Reckoning Reverberation Time from the Scene Images Based on Rough Fuzzy Neural Network, 2008 International Congress on Image and Signal Processing, 2008 May 28-30, Sanya, China.