• DocumentCode
    559898
  • Title

    Simple Knowledge Reduction Approach Based on Direct Definitions and Discernibility Matrix

  • Author

    Liu, Bailin ; Chen, Xi ; Zou, Huiyun

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Xi´´an Technol. Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    23
  • Lastpage
    25
  • Abstract
    Reduction and core are two of the most important concepts in rough set theory. Two kinds of knowledge reduction methods are introduced based on the direct definitions and the discernibility matrix in this paper. A new knowledge reduction approach was proposed which combines the two aforementioned methods. The two steps of new method are: Firstly knowledge was classified and reduced with the indiscernibility relation, then core be calculated reusing distinction function. The experimental results show that the new method can simplify the calculation, and can reduce the computational complexity of the method.
  • Keywords
    knowledge engineering; matrix algebra; rough set theory; computational complexity reduction; direct definitions; discernibility matrix; distinction function; indiscernibility relation; knowledge reduction methods; rough set theory; Approximation methods; Complexity theory; Computers; Educational institutions; Information systems; Knowledge based systems; Set theory; Core; Discernibility function; Discernibility matrix; Reduction; Rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.33
  • Filename
    6113458