摘要
针对传统产生式规则和Boolean 规则矩阵无法进行不确定性知识表示和推理的弱点,文章采用三值逻辑表示规则和真值状态的不确定性,提出并使用三值产生式规则(T 规则) 和三值规则矩阵(TR 矩阵) ,利用TR矩阵变换实现高速前向推理和后向推理。对复合三值规则的无损分解进行了详细探讨,最后提出了一个能进行不确定推理的新算法。
As to the weakness of the traditional adjacentrule and Boolean rule matrix which can not represent and inference uncertain knowledge ,ternary adjacentrule(Trule) ,ternary rule matrix(TR matrix) are proposed and used . We realizeforward/backward reasoning through TR matrix transformation .The lossless decomposition ofcompound Trulesisexplored in detail. A new algorithm dealing with uncertain reasoning problemsatlast.
出处
《微电子学与计算机》
CSCD
北大核心
2000年第1期13-17,共5页
Microelectronics & Computer
基金
国家自然科学基金!资助(69274016)
关键词
知识表示
知识推理
多值逻辑
人工智能
Ternary production rule ,Rule matrix , Uncertain knowledge representation and reasoning , Lossless decomposition of compound rules