• DocumentCode
    226749
  • Title

    FTFBE: A numerical approximation for fuzzy time-fractional Bloch equation

  • Author

    Ahmadian, A. ; Chee Seng Chan ; Salahshour, Soheil ; Vaitheeswaran, Vembarasan

  • Author_Institution
    Centre of Image & Signal Process., Univ. of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    418
  • Lastpage
    423
  • Abstract
    Fractional calculus has a long successful history of 300 years, as it able to model natural phenomena states more accurately than the differential equations of integer order. With this, it plays an important role in variant disciplines. Recently, variant fractional models for the Bloch equations have been proposed, however, effective numerical methods for the fractional Bloch equation (FBE) are still in the infancy stage. In this paper, we extend the time-fractional Bloch equation (TFBE) to fuzzy field under the generalized Caputo differentiability, such that these extensions have natural relationship between crisp. For this purpose, we adopted the fractional Adams-Bashforth-Moulton (FABM) type predictorcorrector method, and introduced a new variant - the fuzzy fractional ADM (FFABM) to find the numerical solution. In this case, a new theorem concerning the error of our proposed FFADM method is also presented. Finally, the capability of the newly developed numerical methods is demonstrated in a fuzzy fractional-order problem, and it achieves satisfactorily in terms of numerical stability.
  • Keywords
    approximation theory; differential equations; fuzzy set theory; numerical stability; FABM type predictorcorrector method; FFABM; FTFBE; fractional Adams-Bashforth-Moulton; fractional calculus; fractional differential equation; fuzzy field; fuzzy fractional ADM; fuzzy fractional-order problem; fuzzy time-fractional Bloch equation; generalized Caputo differentiability; numerical approximation; numerical stability; variant fractional models; Approximation methods; Differential equations; Equations; Error analysis; Mathematical model; Nuclear magnetic resonance; Numerical models; Caputo differentiability; Fuzzy fractional Bloch equation; Predictor-Corrector method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891696
  • Filename
    6891696