Fuzzy Sumudu transform approach to solving fuzzy differential equations with Z-numbers
Advanced Fuzzy Logic Approaches in Engineering Science, 2019•igi-global.com
Uncertain nonlinear systems can be modeled with fuzzy differential equations (FDEs) and
the solutions of these equations are applied to analyze many engineering problems.
However, it is very difficult to obtain solutions of FDEs. In this book chapter, the solutions of
FDEs are approximated by utilizing the fuzzy Sumudu transform (FST) method. Here, the
uncertainties are in the sense of fuzzy numbers and Z-numbers. Important theorems are laid
down to illustrate the properties of FST. This new technique is compared with Average Euler …
the solutions of these equations are applied to analyze many engineering problems.
However, it is very difficult to obtain solutions of FDEs. In this book chapter, the solutions of
FDEs are approximated by utilizing the fuzzy Sumudu transform (FST) method. Here, the
uncertainties are in the sense of fuzzy numbers and Z-numbers. Important theorems are laid
down to illustrate the properties of FST. This new technique is compared with Average Euler …
Abstract
Uncertain nonlinear systems can be modeled with fuzzy differential equations (FDEs) and the solutions of these equations are applied to analyze many engineering problems. However, it is very difficult to obtain solutions of FDEs. In this book chapter, the solutions of FDEs are approximated by utilizing the fuzzy Sumudu transform (FST) method. Here, the uncertainties are in the sense of fuzzy numbers and Z-numbers. Important theorems are laid down to illustrate the properties of FST. This new technique is compared with Average Euler method and Max-Min Euler method. The theoretical analysis and simulation results show that the FST method is effective in estimating the solutions of FDEs.
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