• DocumentCode
    401842
  • Title

    Research on fuzzy model and algorithms for data fusion

  • Author

    Yang, Bao-hua ; He, Ping ; Wang, Ben-li

  • Author_Institution
    Sch. of Astronautics, Harbin Inst. of Technol., China
  • Volume
    4
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    2480
  • Abstract
    In this paper a fuzzy method for data fusion is proposed. First, the admission function is defined to measure the consistency of the sensors´ information. Simultaneously, the fuzzy measure is adopted for measuring the reliability of the sensors group which contributes to the final result. Thus, the final result is the combination of the compatible data provided by the more reliable sensors team. This method not only deals with the conflict between the sensors´ information and the transaction information provided by faulty sensor, but also assures the reliability and accuracy of the final fusion result. Finally, the simulation results show the method is satisfactory.
  • Keywords
    fuzzy logic; fuzzy set theory; fuzzy systems; sensor fusion; data fusion; faulty sensor; fusion algorithm; fuzzy method; sensors group reliability; Fuzzy neural networks; Fuzzy set theory; Fuzzy systems; Helium; Humans; Neural networks; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1259929
  • Filename
    1259929