• DocumentCode
    2543429
  • Title

    A new roughness measure in ordered information systems

  • Author

    Liu, Aiping ; Chang, Jin ; Qin, Xiwen ; Teng, Shuhua

  • Author_Institution
    Dept. of Mech. & Electr. Eng., Luoyang Inst. of Sci. & Technol., Luoyang, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    413
  • Lastpage
    417
  • Abstract
    Rough set theory is a valid mathematical tool to deal with inexact, uncertain, or vague knowledge. Although some uncertainty measures to evaluate the uncertainty of rough sets have been investigated in ordered information systems, the existing measures are not able to characterize well the imprecision of a rough set. In order to find a new method to measure the roughness of rough sets in ordered information systems, in this paper, we give a well-justified measure, and some important properties are investigated. By an example, it is shown that our new method does not only reflect well the uncertainty of rough sets, but also consist with human cognition in ordered information systems.
  • Keywords
    information systems; mathematical analysis; rough set theory; mathematical tool; new roughness measure; ordered information systems; rough set theory; vague knowledge; Cognition; Data analysis; Educational institutions; Electric variables measurement; Humans; Information systems; Measurement uncertainty; Mechanical variables measurement; Rough sets; Set theory; ordered information systems; rough set; roughness measure; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477598
  • Filename
    5477598