Opto-Electronic Engineering, Volume. 35, Issue 5, 1(2008)

Model of Situation and Threat Assessment Based on Fuzzy Bayesian Network

KANG Chang-qing1,2、*, GUO Li-hong1, LUO Yan-chun1,2,3, and WANG Xin-zui1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • show less

    To process uncertain data obtained in sensors,a model of Situation and Threat Assessment (STA) based on fuzzy Bayesian network was proposed. The uncertain sensor data were divided into vagueness domain and probability domain. The vague data type of the threat target was handled by fuzzy comprehensive evaluation,and the dynamic threat degree was obtained in fuzzy domain. And then the fuzzy dynamic threat degree was translated into the probabilistic type by the possibility/probability theory. All the uncertain data were figured in probabilistic type and processed by Bayesian network to produce the threat level of the target. An example indicates that the fuzzy Bayesian network can obtain the real threat levels and is feasible for weapon system to automate decision-making on target-selecting and target-striking.

    Tools

    Get Citation

    Copy Citation Text

    KANG Chang-qing, GUO Li-hong, LUO Yan-chun, WANG Xin-zui. Model of Situation and Threat Assessment Based on Fuzzy Bayesian Network[J]. Opto-Electronic Engineering, 2008, 35(5): 1

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Aug. 20, 2007

    Accepted: --

    Published Online: Mar. 1, 2010

    The Author Email: Chang-qing KANG (kangchangqing@163.com)

    DOI:

    CSTR:32186.14.

    Topics