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A rough set solution to a fuzzy set problem

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3 Author(s)
Bean, C.L. ; Dept. of Comput. Sci., Hull Univ., UK ; Kambhampati, C. ; Rajaskharan, S.

When designing a Takagi-Sugeno (TS) fuzzy controller, reducing the number of rules makes it easier to derive a stable Lyapunov based controller using linear matrix inequalities (LMIs). The paper describes an intuitive way of reducing a fuzzy ruleset by eliminating rules that are very similar in terms of parameters and membership functions. It is then suggested that a more formal approach to this intuitive idea may be found in rough set theory

Published in:

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on  (Volume:1 )

Date of Conference:

2002