6533b85afe1ef96bd12b89cc

RESEARCH PRODUCT

Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers

Sina RazvarzAlexander GegovSatyam PaulRaheleh Jafari

subject

0209 industrial biotechnologyProperty (philosophy)Mathematics::General MathematicsMathematicsofComputing_NUMERICALANALYSISComputational mathematics02 engineering and technologyFuzzy logicNonlinear system020901 industrial engineering & automationComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONZ number0202 electrical engineering electronic engineering information engineeringApplied mathematics020201 artificial intelligence & image processingComputingMethodologies_GENERALMathematics

description

In this paper, the uncertainty property is represented by Z-number as the coefficients and variables of the fuzzy equation. This modification for the fuzzy equation is suitable for nonlinear system modeling with uncertain parameters. Here, we use fuzzy equations as the models for the uncertain nonlinear systems. The modeling of the uncertain nonlinear systems is to find the coefficients of the fuzzy equation. However, it is very difficult to obtain Z-number coefficients of the fuzzy equations.

yearjournalcountryeditionlanguage
2018-08-11
https://doi.org/10.1007/978-3-319-97982-3_8