主观证据交互式提取及融合方法

为解决现有研究并未考虑客观证据源因受外界干扰而无法获取有效证据信息的问题,基于动态知识矩阵构建了能够从决策专家知识、经验、直觉中逐步获得主观证据信息的提取方法,并给出了由动态知识矩阵向基本概率分配函数转化的推断定理,在此基础上,通过设置冲突因子阈值构造了能够平衡推断成本与推断效果之间矛盾关系的主观证据交互式融合方法.数值模拟结果表明了所提出方法的有效性和可行性.

Interactive method for deriving and fusing subjective evidences

It is rarely considered that the objective evidence source is disturbed by outside world and the evidence information is derived inefficiently in current research. To solve above problems, a method is established to gradually derive subjective evidence information from decision experts’ knowledge, experience and intuition based on dynamic knowledge matrices. After that, an inference theorem for transforming dynamic knowledge matrices to basic probability assignment functions is presented, and an interactive method for fusing subjective evidences is proposed to balance the contradictory relationships between inference costs and inference efficiencies by introducing a conflict weight threshold value. Simulation cases show the proposed method is efficient and applicable.