摘要
针对传统粗糙集产品配置规则提取方法容噪性较差的问题,应用变精度粗糙集方法,依据产品设计实例数据建立配置决策表,通过设定分类精度,进行了基于决策类下近似的相对属性约简和基于核值属性的值约简,依据支持度获得有效的产品配置规则.考虑设计实例增加对规则提取的影响,采用增量式更新方法对新增决策表进行规则提取,处理新增配置规则与原配置规则之间的重复、包含和冲突关系,依据可信度进行配置规则的更新.以水平定向钻机配置规则提取为例,验证了所提方法的可行性和有效性.
Aiming at the problem that product configuration rules extraction method based on traditional rough set has poor noise-tolerance capability,a variable precision rough set method was used to construct configuration decision table according to product design case data,to carry out relative attribute reduction based on decision class lower approximation and value reduction based on core-value attributes through setting classification precision,and then acquire effective configuration rules based on support degree.Considering the effect of design case data addition on configuration rules extraction,an incremental updating method was proposed to update product configuration rules based on confidence degree, and to deal with the relationships of repetition,inclusion and confliction between newly added configuration rules and the(original) configuration rules.A case study of horizontal directional drilling configuration rules extraction was presented to illustrate the feasibility and effectiveness of the proposed method.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2010年第7期878-882,共5页
Journal of Shanghai Jiaotong University
基金
国家高技术研究发展计划(863)项目(2007AA04Z140)
教育部高等学校博士点基金资助项目(20070248020)
上海市重点学科建设项目资助(Y0102)
关键词
配置规则
变精度粗糙集
属性约简
值约简
增量式更新
configuration rule
variable precision rough set
attribute reduction
value reduction
incremental updating