个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:Associate Professor of Institute of Operation and Logistics
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:运营与物流管理研究所
学科:企业管理. 管理科学与工程
办公地点:经济管理学院D371
联系方式:13478664616
电子邮箱:hgbo@dlut.edu.cn
Rough set approach to knowledge discovery of process in process industry
点击次数:
论文类型:会议论文
发表时间:2009-08-14
收录刊物:EI、Scopus
卷号:1
页面范围:273-276
摘要:Rough Set Approach (RSA) has been introduced to deal with multiple attributes reduction and multiple rules extraction for knowledge discovery, where assignments of objects may be inconsistent with respect to consistent principle. In this paper, a novel RSA is proposed to discover classification rules through a process of knowledge induction which selects decision rules with hierarchical design features for process knowledge classification of real-valued data in process industry. A way is also presented to reduce decision tables and to induce decision rules from rough approximations. Numerical examples are employed to substantiate the conceptual arguments. ? 2009 IEEE.