Lower Solutions of Max-Min Fuzzy Equations

1989 ◽  
pp. 23-48
Author(s):  
Antonio di Nola ◽  
Salvatore Sessa ◽  
Witold Pedrycz ◽  
Elie Sanchez
Keyword(s):  
Fuzzy Equations

Modeling of Uncertain Nonlinear System With Z-Numbers

2021 ◽  
pp. 290-314
Author(s):  
Raheleh Jafari ◽  
Sina Razvarz ◽  
Alexander Gegov ◽  
Satyam Paul
Keyword(s):  
Neural Network ◽  
Nonlinear System ◽  
Nonlinear Systems ◽  
Network Approach ◽  
Uncertain Nonlinear System ◽  
Neural Network Approach ◽  
The Neural Network ◽  
Simulation Results ◽  
Fuzzy Equations

In order to model the fuzzy nonlinear systems, fuzzy equations with Z-number coefficients are used in this chapter. The modeling of fuzzy nonlinear systems is to obtain the Z-number coefficients of fuzzy equations. In this work, the neural network approach is used for finding the coefficients of fuzzy equations. Some examples with applications in mechanics are given. The simulation results demonstrate that the proposed neural network is effective for obtaining the Z-number coefficients of fuzzy equations.

A new method for solving interval and fuzzy equations: Linear case

2009 ◽  
Vol 179 (7) ◽  
pp. 925-937 ◽  
Author(s):  
P. Sevastjanov ◽  
L. Dymova
Keyword(s):  
New Method ◽  
Linear Case ◽  
Fuzzy Equations

Solving fuzzy equations

1992 ◽  
Vol 50 (1) ◽  
pp. 1-14 ◽  
Author(s):  
J.J. Buckley
Keyword(s):  
Fuzzy Equations

scholarly journals Existence of extremal solutions for quadratic fuzzy equations

2005 ◽  
Vol 2005 (3) ◽  
pp. 535919 ◽  
Author(s):  
Juan J Nieto ◽  
Rosana Rodríguez-López
Keyword(s):  
Extremal Solutions ◽  
Fuzzy Equations
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