Title :
A rough set solution to a fuzzy set problem
Author :
Bean, C.L. ; Kambhampati, C. ; Rajaskharan, S.
Author_Institution :
Dept. of Comput. Sci., Hull Univ., UK
fDate :
6/24/1905 12:00:00 AM
Abstract :
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
Keywords :
control system synthesis; fuzzy control; matrix algebra; rough set theory; Takagi-Sugeno fuzzy controller; fuzzy ruleset; fuzzy set problem; linear matrix inequalities; rough set solution; stable Lyapunov based controller; Control theory; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Humans; Linear matrix inequalities; Power system modeling; Robot control;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1004952
