• DocumentCode
    3267401
  • Title

    Triangular Fuzzy Number Method for Fuzzy Multi-sensor Information Fusion

  • Author

    Dong, Jiuying

  • Author_Institution
    Coll. of Inf. Technol., Jiangxi Univ. of Finance & Economic, Nanchang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    162
  • Lastpage
    165
  • Abstract
    The triangular fuzzy numbers are used to represent to the object recognition problem, a new fusion method for multi-sensor data is proposed from the decision making theory. The method defines the distance matrix between all object types and unknown object. After solving the optimization problem of maximizing the standard deviations for all attributes, the weights of the attributes are obtained objectively. Hence, the result of recognition for the unknown object is given by the overall distance. This method can avoid the subjectivity of selecting attributes weights and be performed on computer easily. The simulated example verifies the feasibility and practicability of the proposed method.
  • Keywords
    decision making; fuzzy set theory; matrix algebra; object recognition; optimisation; sensor fusion; decision making theory; distance matrix; fuzzy multisensor information fusion; object recognition problem; optimization problem; standard deviation maximization; triangular fuzzy number method; Bayesian methods; Computational intelligence; Data acquisition; Databases; Decision making; Educational institutions; Object recognition; Sensor fusion; Sensor phenomena and characterization; Signal processing; multi-sensor information fusion; object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.183
  • Filename
    5231165