Rutkowska, Danuta - ed. ; Zadeh, Lotfi A. - ed.
Neuro-Fuzzy and Soft Computing
Several important fuzzy implications and their properties are described on the basis of an axiomatic approach to the definition of the fuzzy implications. Then the idea of approximate reasoning using the generalized modus ponens and fuzzy implications is considered. ; The elimination of the non-informative part of the final fuzzy set before defuzzification plays the key role in this paper. After reviewing well-known fuzzy systems, a new artificial neural network based on logical interpretation of if-then rules (ANBLIR) is introduced. Moreover, this system automatically generates rules from numerical data. Applications of ANBLIR to pattern recognition on numerical examples using benchmark databases are indicated.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 10, number 4 (2000) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2021-09-03
2021-07-19
124
https://zbc.uz.zgora.pl/repozytorium/publication/65523
Nazwa wydania | Data |
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A neuro-fuzzy system based on logical interpretation of if-then rules | 2021-09-03 |
Rutkowska, Danuta Nowicki, Robert K. Rutkowska, Danuta - ed. Zadeh, Lotfi A. - ed.
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Gemeinder, Marcus Rutkowska, Danuta - ed. Kacprzyk, Janusz - ed. Zadeh, Lotfi A. - ed.
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Łęski, Jacek M. Triggiani, Roberto- ed. Maksimov, Vyacheslav I. - ed.