• 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