A T-S type of rough fuzzy control system and its implementation

Authors:
Jinjie Huang;Shiyong Li;Chuntao Man
Affiliations:
Harbin Institute of Technology, Department of Control Science and Engineering, Harbin, China;Harbin Institute of Technology, Department of Control Science and Engineering, Harbin, China;Harbin University of Science and technology, Department of automation, Harbin, China
Venue:
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Year:
2003

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Abstract

A new type of rough fuzzy controller and its design method are presented and show how the rough logic is combined with fuzzy inference. In this approach, rough set theory is used to derive the minimal set of rules from input-output data, and by complementing the information of output control corresponding to the rough reduced rules, a T-S type of rough fuzzy control system is constructed, which can solve the problem that the number of rules in a fuzzy controller increases exponentially with the number of variables involved.