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Improvement and application of an uncertainty management method based evidence theory

机译:基于证据理论的不确定性管理方法的改进与应用

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Aiming at earthquake prediction field, this paper puts forward a multi-expert multi-attribute uncertainty management algorithm based on DS evidence theory. Seismic signal has so much uncertainty that traditional mathematical statistics method cannot solve. Considering DS theory is an excellent uncertainty reasoning method, we extract three instantaneous attributes of plural seismic signal as prediction characteristics, and simultaneously modify DS theory to fusion multi-attribute characteristics by the introduction of Jffreys distance function. Experimental results and analyses demonstrate that, through the proposed multi-expert multi-attribute uncertainty management algorithm, we can clearly describe geological phenomenon and sedimentary processing. Thus, it has great application value.
机译:针对地震预报领域,提出了一种基于DS证据理论的多专家多属性不确定性管理算法。地震信号具有很大的不确定性,传统的数学统计方法无法解决。考虑到DS理论是一种很好的不确定性推理方法,我们提取了多个地震信号的瞬时属性作为预测特征,同时通过引入Jffreys距离函数将DS理论修改为融合多属性特征。实验结果和分析表明,通过提出的多专家多属性不确定性管理算法,可以清晰地描述地质现象和沉积过程。因此,具有很大的应用价值。

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