Modeling of uncertain nonlinear system with Z-numbers

Raheleh Jafari, Sina Razvarz, Alexander Gegov, Satyam Paul

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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.
Original languageEnglish
Title of host publicationEncyclopedia of Information Science and Technology, Fifth Edition
EditorsMehdi Khosrow-Pour
PublisherIGI Global
Chapter22
Pages290-314
Number of pages25
Edition5th
ISBN (Electronic)9781799834809
ISBN (Print)9781799834793
DOIs
Publication statusPublished - 24 Jul 2020

Cite this