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Fuzzy Sumudu Transform Approach to Solving Fuzzy Differential Equations With Z-Numbers
Agder University College, Grimstad, Norway.
National Polytechnic Institute, Mexico City, Mexico.
University of Portsmouth, Portsmouth, UK.
National Polytechnic Institute, Mexico City, Mexico.ORCID iD: 0000-0003-4720-0897
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2019 (English)In: Advanced Fuzzy Logic Approaches in Engineering Science / [ed] Mangey Ram, Hershey, PA, USA: IGI Global , 2019, p. 18-48Chapter in book (Other academic)
Abstract [en]

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.

Place, publisher, year, edition, pages
Hershey, PA, USA: IGI Global , 2019. p. 18-48
National Category
Engineering and Technology Computational Mathematics Mathematical Analysis
Identifiers
URN: urn:nbn:se:oru:diva-71791DOI: 10.4018/978-1-5225-5709-8.ch002OAI: oai:DiVA.org:oru-71791DiVA, id: diva2:1281992
Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-01-25Bibliographically approved

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Paul, Satyam

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Citation style
  • apa
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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  • text
  • asciidoc
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