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基于模糊状态描述的因果关联规则的提取过程

Causal Association Rule Mining Methods Based on Fuzzy State Discription
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摘要 提出了基于模糊语言场和模糊语言值结构的知识表示新型框架,并提出了能够综合处理模糊不确定性与随机不确定性的广义细胞自动机和广义归纳逻辑因果模型。在上述基础上,提出了一类发现因果关联规则的新算法。 A New framework of knowledge representation based on Fuzzy language field and Fuzzy language values structure is proposed in this paper . The generalized cell Automation and generalized inductive logic causal model, which can synthetically process fuzzy indeterminacy and random indeterminacy, are brought forward as well in the paper. At last, a kinds of new methods that discovery causal association rule is proposed.
出处 《南昌大学学报(理科版)》 CAS 北大核心 2008年第2期190-192,197,共4页 Journal of Nanchang University(Natural Science)
关键词 语言场 广义细胞自动机 广义归纳逻辑因果模型 因果关联规则 language field generalized cell automation generalized inductive logic causal model causal association rule. 1
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