• DocumentCode
    629825
  • Title

    Dealing with imperfect information in telecommunication operator knowledge management information systems

  • Author

    Dragun, Nenad

  • Author_Institution
    HT-Hrvatski Telekom d.d., Hungary
  • fYear
    2013
  • fDate
    26-28 June 2013
  • Firstpage
    11
  • Lastpage
    18
  • Abstract
    Modern information systems often contain functionalities such as outcome prediction for certain events and actions or autonomous decision making on the course of future actions with no human interaction. A cornerstone of such systems is knowledge, stored inside of them and evolving from information acquired and organised in a certain manner. Telecommunication operator information systems, as well as many others, face imperfect information on daily basis. Those systems have difficulties to profit from such information, and are unable to properly classify and organise it. Granular approach to organizing information is one of the approaches that can efficiently address the challenge of dealing with imperfect information.
  • Keywords
    fuzzy set theory; information systems; knowledge management; rough set theory; telecommunication computing; fuzzy sets; granular approach; imperfect information; rough sets; telecommunication operator knowledge management information systems; Approximation methods; Broadband communication; Customer services; Fuzzy sets; Information systems; Internet; fuzzy sets; granular structures; granules; imperfect information; knowledge; rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (ConTEL), 2013 12th International Conference on
  • Conference_Location
    Zagreb
  • Print_ISBN
    978-1-4673-5984-9
  • Type

    conf

  • Filename
    6578264