Rutkowska, Danuta - ed. ; Zadeh, Lotfi A. - ed.
Neuro-Fuzzy and Soft Computing
This paper compares two different approaches to the construction of Takagi-Sugeno fuzzy models from data. These models approximate nonlinear systems by means of interpolation between local linear models. The main issue in the construction of Takagi-Sugeno models is the decomposition of the operating space into validity regions for the local models. ; The way this decomposition is done influences the complexity, accuracy and transparency of the obtained model. The first of the presented methods, the local linear model tree (LOLIMOT) algorithm generates incrementally the fuzzy model by axis-orthogonal decomposition of the input space. In the other method, product-space fuzzy clustering (the Gustafson-Kessel algorithm) is used to partition the available data into fuzzy subsets. ; The fundamental advantages and drawbacks of both the alternative strategies are pointed out. Their properties and real-world applicability are illustrated by building a dynamic model of a truck Diesel engine turbocharger.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 10, number 4 (2000) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Sep 3, 2021
Jul 19, 2021
155
https://zbc.uz.zgora.pl/publication/65530
Edition name | Date |
---|---|
Comparison of two construction algorithms for Takagi-Sugeno fuzzy models | Sep 3, 2021 |
Domański, Paweł Brdyś, Mieczysław A. Tatjewski, Piotr Korbicz, Józef - red. Uciński, Dariusz - red.
Xu, Dezhi Jiang, Bin Shi, Peng Korbicz, Józef - red. Uciński, Dariusz - red.
Kogut, Janusz Ciurej, Henryk Korbicz, Józef - red. Uciński, Dariusz - red.
Soltani, Moez Chaari, Abdelkader Ben Hmida, Fayçal Korbicz, Józef - red. Uciński, Dariusz - red.
Greblicki, Włodzimierz Triggiani, Roberto- ed. Maksimov, Vyacheslav I. - ed.
Chiuso, Alessandro Picci, Giorgio Fliess, Michel - ed. Jai, Abdelhaq El - ed.
Bańka, Stanisław (1944-2014) Brasel, Michał Dworak, Paweł Jaroszewski, Krzysztof Iacono, Mauro - ed. Kołodziej, Joanna - ed.
Żur, Krzysztof Kamil Jurczak, Paweł - red.