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一种不确定性规则挖掘的混合方法及其应用
引用本文:李国和,马玉书,王泽华. 一种不确定性规则挖掘的混合方法及其应用[J]. 计算机工程与应用, 2004, 40(27): 205-208
作者姓名:李国和  马玉书  王泽华
作者单位:北京航空航天大学,北京,100083;石油大学,北京,北京,102249;石油大学(北京)北京,102249;新疆石油学院,乌鲁木齐,830000
基金项目:中国石油天然气集团公司(CNPC)中青年创新基金(编号:CX2000-14)
摘    要:为了在含有连续条件属性的决策表中挖掘和应用决策规则,通过采用互信息熵作为模糊聚类的截距值选定准则,对信息系统对象集进行模糊聚类划分,并根据粗糙集的有关概念,确定基于截距的近似集和边界,从中挖掘出不确定性决策规则,进一步建立决策知识库。最后以该知识库为识别模型,结合模糊隶属度的计算和不确定性推理进行地层识别,取得了令人满意的效果。

关 键 词:模糊集  粗糙集  信息熵  决策规则  智能推理
文章编号:1002-8331-(2004)27-0205-04

An Integrated Method of Mining Uncertain Decision Rules and It's Application
Li Guohe , Ma Yushu Wang Zehua. An Integrated Method of Mining Uncertain Decision Rules and It's Application[J]. Computer Engineering and Applications, 2004, 40(27): 205-208
Authors:Li Guohe    Ma Yushu Wang Zehua
Affiliation:Li Guohe 1,2 Ma Yushu 2 Wang Zehua 31
Abstract:In order to mine decision-rules from decision table in which conditional attributes are continual,information entropy is used as a criterion to determine the intercept for fuzzy clustering.After the partition of the objects in the information system by fuzzy clustering,and according to the concepts of Pawlak's Rough Set,Rough Set based-on fuzzy intercept is redefined.Then uncertain rules are mined from decision table by use of approximate set and boundary set based-on fuzzy intercept.At last,it is satisfactory to recognize stratum with oil logging data by using uncertain rules,fuzzy subjection calculation and uncertain reasoning.
Keywords:fuzzy set  rough set  information entropy  decision rules  intelligent reasoning
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