摘要
本文采用 MAX-⊙复合运算 ,在基于模糊关系 Rb的多维模糊推理 Sugeno- Takagi的推理框架中 ,利用可能性量化语句 ,从理论上提出了一种表示和处理缺省知识的多维模糊推理方法 .从而提高模糊推理表示和处理知识的能力 .在此理论基础上 ,依据 J.F.Baldwin真值限定的概念 ,提出了一种表示和处理缺省知识的多维模糊真值推理算法 .
In this paper ,a multidimensional fuzzy reasoning method to represent and process knowledge is in theory proposed by using possibility qualification statements ,in the frame of Sugeno Takagi multidimensional fuzzy reasoning based on fuzzy relation Rb under Max ⊙ compositional operation . Thus, the capability of representing and processing knowledge for fuzzy reasoning is enhanced. Based on the theory, a multidimensional fuzzy reasoning algorithm to represent and process default knowledge is proposed in the terms of J.F.Baldwin s truth value restriction concepts .
出处
《小型微型计算机系统》
CSCD
北大核心
2001年第7期893-896,共4页
Journal of Chinese Computer Systems
基金
山西省自然科学基金项目资助 (9910 46 )
关键词
缺省知识
多维模糊推理
可能性量化语句
真假限定
算法
人工智能
Default knowledge
Multidimensional fuzzy reasoning
Possibility qualification statements
Truth value restriction
