一种基于似然比的信息融合与决策方法

针对诊断或决策问题中的多信息特征 ,建立了具有信息融合功能的多级决策结构 ,通过信息融合 ,减小系统输出的不确定性和提高系统决策的可靠性。为解决决策问题中信息的不确定性 ,提出了一种基于似然比的决策策略 ,以结论元间的似然比为决策的中间变量 ,构造了具有局部决策和全局决策两级结构的多级决策器 ,并设计了局部决策规则和全局决策规则。最后通过实例证明了该方法的可行性。

An Information Fusing and Decision-Making Method Based on Likelihood Ratio

Aiming to the characteristic of extensive information in diagnosis or decision-making, the multilevel decision-making structure with a function of information fusion is established. The uncertainty of output can be reduced and the reliability of decision-making can be improved via the information fusion. In order to solve the uncertainty of information, the paper puts forward a decision-making strategy based on likelihood ratio, constructs a two-level decision-making machine and designs local decision-making and synthetical decision-making rules. Finally, the examples testify the feasibility of the method.