針對具有多個特征指標的模糊多傳感器目標識別問題，提出一種新的模糊多傳感器數據融合方法。該方法根據信息熵理論，引入不均衡度定義熵權矢量，通過求解數學規劃問題，得到各目標類別的優屬度，并給出目標識別規則。實驗結果表明，該方法能提高目標識別結果的客觀性和可信度，具有可操作性。
關鍵詞：模糊傳感器；數據融合；目標識別；熵權；優屬度

【Abstract】Aiming at the object recognition problem with multiple characteristic indexes for the fuzzy multi-sensor, a new fusion method for the
fuzzy multi-sensor data is proposed. According to the theory of information entropy, the method introduces the disequilibrium index to define the
vector of entropy weight. By solving the mathematical programming, the optimal membership degree for each target type is obtained, and the rule of
object recognition is given. The method improves the objectivity and trustworthy degree of recognition result. The applied example proves that the
method is exercisable.
【Key words】fuzzy sensor; data fusion; object recognition; entropy weight; optimal membership