• DocumentCode
    416639
  • Title

    Hybrid rough sets/cellular neural networks approach to development of a decision making system

  • Author

    Radwan, E. ; Tazaki, E.

  • Author_Institution
    Dept. of Control & Syst. Eng., Toin Univ. of Yokohama, Japan
  • Volume
    1
  • fYear
    2003
  • fDate
    4-6 Aug. 2003
  • Firstpage
    1045
  • Abstract
    This paper describes a hybrid framework for this kind of switching circuit. In this framework, cellular neural networks (CNN) and rough sets are integrated into a hybrid system and used cooperatively during the system lifecycle. Rough sets and CNN were chosen for this application because they can discover patterns in ambiguous and imperfect data and provide tools for data and pattern analysis.
  • Keywords
    cellular neural nets; data analysis; decision making; genetic algorithms; rough set theory; switching circuits; cellular neural network; data analysis; decision making system; hybrid rough sets neural network; pattern analysis; switching circuit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2003 Annual Conference
  • Conference_Location
    Fukui, Japan
  • Print_ISBN
    0-7803-8352-4
  • Type

    conf

  • Filename
    1323564
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=416639