基于条件事件代数的常概率事件模型及应用

Model of Constant Probability Event Based on Conditional Event Algebra and Its Application

基于乘积空间条件事件代数 ,介绍了一种具有严格数学表示的常概率事件的方法 ,将其应用于数据融合系统中的专家权重事件描述 ,数值融合的结果与代数融合的结果相一致 .在乘积空间条件事件代数中 ,提出了一个新的度量专家观点的布尔相似性测度 ,该测度可以有效地评定专家信息的相似性 。

A mathematics model of constant probability event in product space conditional event algebra was proposed. It is showed that the numerical based fusion and the algebraic based fusion has the consistent result by modeling the weighs of relevant contributing events given by expert as constant probability event in data fusion system. Based on the model, a novel Boolean similarity measure was presented to determine the similarity between experts opinion. A numeric example was illustrated to show the validity of the similarity measure.