Rough set approach to knowledge discovery of process in process industry

Authors:
Hongguang Bo;Xiaobing Liu;Qiunan Meng;Yue Ma
Affiliations:
School of Management, Dalian University of Technology, Dalian, China;School of Management, Dalian University of Technology, Dalian, China;School of Management, Dalian University of Technology, Dalian, China;School of Mechanical & Engineering, Dalian University of Technology, Dalian, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Year:
2009

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Abstract

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.