Title :
Improved Takagi-Sugeno fuzzy approach
Author_Institution :
Dept. of Comput. Sci., Univ. Fed. de Sao Paulo, Botucatu
Abstract :
In this paper Takagi-Sugeno fuzzy approach in analyzed under the fuzzy mapping perspective. Although similar to classical Takagi-Sugeno fuzzy approach in structure, this rule based system differs when employing a subnormal fuzzy mapping instead of using a normalized one. This approach might be considered to be a generalization of traditional Takagi-Sugeno approach to treat uncertainty in mapping procedure. It carries the ability of yielding a completely different input-output mapping by only introducing a new degree of freedom in parameters of fuzzy system design. Additionally, it might be considered to be a generalization of traditional Takagi-Sugeno approach to treat uncertainty, imprecision, vagueness and partial truth in mapping procedure. The proposed approach may be applied for finding out fuzzy models, designing fuzzy controllers, and decision-making process, as well. A zero-order Takagi-Sugeno model is employed to exemplify this nonzero mapping perspective.
Keywords :
fuzzy logic; Takagi-Sugeno fuzzy approach; decision making process; fuzzy controllers design; fuzzy system design; input-output mapping; nonzero mapping; rule based system; subnormal fuzzy mapping; zero-order Takagi-Sugeno model; Control system synthesis; Decision making; Fuzzy control; Fuzzy systems; Knowledge based systems; Polynomials; Power system modeling; Process control; Takagi-Sugeno model; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630516