Monotonic Fuzzy Systems With Goniometric Membership Functions

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Monotonic Fuzzy Systems With Goniometric Membership Functions

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Monotonic Fuzzy Systems With Goniometric Membership Functions

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS

ISSN

1562-2479

e-ISSN

2199-3211

Svazek periodika

27

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

11

Strana od-do

43-53

Kód UT WoS článku

001237821900012

EID výsledku v databázi Scopus

2-s2.0-85195038708