• DocumentCode
    514933
  • Title

    Product Operation of Grade Lower Approximation Operator and Grade Upper Approximation Operator Based on Two Parameters

  • Author

    Xianyong Zhang ; Fang Xiong ; Zhiwen Mo

  • Author_Institution
    Coll. of Math. & Software Sci., Sichuan Normal Univ., Chengdu, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    939
  • Lastpage
    942
  • Abstract
    Grade is an important quantitative index, and graded rough set model is an important improved rough set model. This paper is to explore product operation of grade approximation operators. Based on logical product operation, this paper proposes product operation of grade lower approximation operator and grade upper approximation operator based on two parameters. Essence, basic structure and properties are obtained. Macroscopic algorithm and structural algorithm are proposed and analyzed, and by comparison it obtains an important conclusion that structural algorithm has advantages in time complexity and space complexity. Finally an example is given to illustrate the product operation and its algorithms.
  • Keywords
    approximation theory; rough set theory; grade lower approximation operator product operation; grade upper approximation operator; graded rough set model; macroscopic algorithm; structural algorithm; Algorithm design and analysis; Approximation algorithms; Automation; Educational institutions; Intelligent structures; Mathematical model; Mathematics; Mechatronics; Set theory; Software measurement; approximation operator; artificial intelligence; grade; graded rough set; logical product operation; macroscopic algorithm; rough set theory; structural algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.721
  • Filename
    5459920