Modeling of uncertain nonlinear system with Z-numbers

Jafari, Raheleh; Razvarz, Sina; Gegov, Alexander; Paul, Satyam

Abstract

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.

Citation

Jafari, R., Razvarz, S., Gegov, A., & Paul, S. (2021). Modeling of uncertain nonlinear system with Z-numbers. In Encyclopedia of Information Science and Technology (290-314). IGI Global. https://doi.org/10.4018/978-1-7998-3479-3.ch022

• Publication Date: 2021
• Deposit Date: Aug 12, 2020
• Publisher: IGI Global
• Pages: 290-314
• Book Title: Encyclopedia of Information Science and Technology
• Chapter Number: 22
• ISBN: 9781799834793
• DOI: https://doi.org/10.4018/978-1-7998-3479-3.ch022
• Keywords: Modeling, Uncertain nonlinear systems, Z-numbers
• Public URL: https://uwe-repository.worktribe.com/output/6543402
• Publisher URL: https://www.igi-global.com/gateway/chapter/260193
• Related Public URLs: https://www.igi-global.com/gateway/book/242896