Causal association rule mining methods based on fuzzy state description  

作　　者：Liang Kaijian Liang Quan Yang Bingru 

机构地区：[1]Dept. of Computer, Hunan Inst. of Engineering, Xiangtan 411101, P. R. China [2]School of Information and Engineering, Univ. of Science and Technology Beijing, Beijing 100083, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2006年第1期193-199,共7页系统工程与电子技术（英文版）

基　　金：ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(69835001).

摘　　要：Aiming at the research that using more new knowledge to develope knowledge system with dynamic accordance, and under the background of using Fuzzy language field and Fuzzy language values structure as description framework, the generalized cell Automation that can synthetically process fuzzy indeterminacy and random indeterminacy and generalized inductive logic causal model is brought forward. On this basis, a kind of the new method that can discover causal association rules is provded. According to the causal information of standard sample space and commonly sample space, through constructing its state （abnormality） relation matrix, causal association rules can be gained by using inductive reasoning mechanism. The estimate of this algorithm complexity is given,and its validiw is proved through case.Aiming at the research that using more new knowledge to develope knowledge system with dynamic accordance, and under the background of using Fuzzy language field and Fuzzy language values structure as description framework, the generalized cell Automation that can synthetically process fuzzy indeterminacy and random indeterminacy and generalized inductive logic causal model is brought forward. On this basis, a kind of the new method that can discover causal association rules is provded. According to the causal information of standard sample space and commonly sample space, through constructing its state （abnormality） relation matrix, causal association rules can be gained by using inductive reasoning mechanism. The estimate of this algorithm complexity is given,and its validiw is proved through case.

关 键 词：knowledge discovery language field language value structure generalized cell automation generalized inductive logic causal model causal association rule. 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]