• DocumentCode
    2426220
  • Title

    An Approximate Reasoning Model for Situation and Threat Assessment

  • Author

    Liang, Yawei

  • Author_Institution
    R. Mil. Coll. of Canada, Kingston
  • Volume
    4
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    246
  • Lastpage
    250
  • Abstract
    This paper examines the use of a fuzzy knowledge- based system (KBS) in assisting naval operators in managing the situation and threat assessment problem in a littoral environment. Under the scenario created involving air contacts in a littoral environment, the assessment of the KBS model is conducted and the results showed that the correlation between assessment and human operation officers´ judgment was high. The fuzzy KBS with its corresponding toolkits is much more flexible to be integrated with other components of a command and control system, while the fine-tuning of membership functions and fuzzy inference rules are intensive; this makes any further modification a non- trivial task.
  • Keywords
    command and control systems; fuzzy reasoning; fuzzy set theory; knowledge based systems; naval engineering computing; ships; approximate reasoning model; command and control system; fuzzy inference rule; fuzzy knowledge-based system; fuzzy set theory; littoral environment; membership function; navy combat ship; situation-threat assessment; Command and control systems; Educational institutions; Environmental management; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Humans; Knowledge based systems; Marine vehicles; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.146
  • Filename
    4406390