DocumentCode :
2401235
Title :
Preservation of soft computing data using Kalman filter and fuzzy concept
Author :
Srivastav, Vertika ; Bajpai, Nitya ; Jha, Sanjeev Kumar ; Singh, Shivlok ; Tiwari, Amod
Author_Institution :
Singhania Univ. Rajasthan, India
fYear :
2010
fDate :
28-29 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
This is global challenge to preserve the soft computing data through hard device. By this issue in the field of Computer science and Engineering Technology, the data collection and capturing techniques together with algorithms for combining multiple range, allow us to accurately digitize the internal and external characteristics of many soft computing and hard devices. This capability makes it possible using filter fuzzy concept and rough sets technique. This task provides flexible information processing capabilities for handling real life problems. The main goal of this paper is to remove the tolerance, uncertainty and provide robustness, low solution cost of the data preservation.
Keywords :
Kalman filters; data analysis; fuzzy logic; information filtering; real-time systems; rough set theory; security of data; uncertainty handling; Kalman filter; data collection; flexible information processing; fuzzy concept; rough sets technique; soft computing data preservation; Databases; Genomics; Hardware; Magnetic resonance imaging; Media; Software; Standards; Crisp Computing; Digital inference; Fuzzy tolerance; Image Filter; Rough information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5965-0
Electronic_ISBN :
978-1-4244-5967-4
Type :
conf
DOI :
10.1109/ICCIC.2010.5705776
Filename :
5705776
Link To Document :
بازگشت