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数据融合的模糊模型和算法研究
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2009-07-15
马占云
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提出了一种数据融合的模糊模型和算法. 该模型定义了容许函数对传感器输出信息的一致性进行度量,利用模糊测度对参与融合的传感器组的可靠性进行度量,使最终的融合结果是尽量可靠的传感器组提供的一致性较好的数据的综合. 该方法既能有效的处理冲突信息和传感器故障产生的错误信息,同时又保证了融合结果的精确性和可靠性,具有良好的容错性和稳健性. 既可用于信号层融合,又可用于决策层融合. 仿真结果表明,融合方法令人满意.
关键词: 信息融合; 模糊逻辑; 模糊测度
Abstract : A admission function is first defined to measure the consistency of information f rom sensors. While a fuzzy measure is adopted to measure the reliability of sensors. The final result is therefore the com2 bination of compatible data provided by more reliable sensors. This method proposed can deal with the con2 flict in information f rom sensors and t ransact the information f rom a faulty sensor to ensure the reliability and accuracy of final result . Simulation result s show the fuzzy method is satisfactory.
Key words : information fusion ; fuzzy logic ; fuzzy measure
关键词: 信息融合; 模糊逻辑; 模糊测度
Abstract : A admission function is first defined to measure the consistency of information f rom sensors. While a fuzzy measure is adopted to measure the reliability of sensors. The final result is therefore the com2 bination of compatible data provided by more reliable sensors. This method proposed can deal with the con2 flict in information f rom sensors and t ransact the information f rom a faulty sensor to ensure the reliability and accuracy of final result . Simulation result s show the fuzzy method is satisfactory.
Key words : information fusion ; fuzzy logic ; fuzzy measure
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