Monotonic Fuzzy Systems With Goniometric Membership Functions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00388294" target="_blank" >RIV/68407700:21230/25:00388294 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s40815-024-01758-4" target="_blank" >https://doi.org/10.1007/s40815-024-01758-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s40815-024-01758-4" target="_blank" >10.1007/s40815-024-01758-4</a>

Result language
angličtina
Original language name
Monotonic Fuzzy Systems With Goniometric Membership Functions
Original language description
Fuzzy logic-based systems are nowadays commonly used in nonlinear function approximation when incoming data are available. Their main advantage is that the resulting rules can be interpreted understandably. Nevertheless, when the data are noisy an overfitting may occur which leads to poor accuracy and generalization ability. Prior information about the nonlinear function may improve fuzzy system performance. In this paper the case when the function is monotonic with respect to some or all variables is considered. Sufficient conditions for the monotonicity of first-order Takagi-Sugeno fuzzy systems with raised cosine membership functions are derived. Performance of the proposed fuzzy system is tested on two benchmark datasets.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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