A Runge-Kutta method with reduced number of function evaluations to solve hybrid fuzzy differential equations

Verfasser / Beitragende:
[Ali Ahmadian, Soheil Salahshour, Chee Chan]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/4(2015-04-01), 1051-1062
Format:
Artikel (online)
ID: 605469954
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024 7 0 |a 10.1007/s00500-014-1314-9  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1314-9 
245 0 2 |a A Runge-Kutta method with reduced number of function evaluations to solve hybrid fuzzy differential equations  |h [Elektronische Daten]  |c [Ali Ahmadian, Soheil Salahshour, Chee Chan] 
520 3 |a In this paper, we employ a numerical algorithm to solve first-order hybrid fuzzy differential equation (HFDE) based on the high order Runge-Kutta method. It is assumed that the user will evaluate both $$f$$ f and $$f'$$ f ′ readily, instead of the evaluations of $$f$$ f only when solving the HFDE. We present a $$O(h^4)$$ O ( h 4 ) method that requires only three evaluations of $$f$$ f . Moreover, we consider the characterization theorem of Bede to solve the HFDE numerically. The convergence of the method will be proven and numerical examples are shown with a comparison to the conventional solutions. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Fuzzy ordinary differential equation  |2 nationallicence 
690 7 |a Hybrid system  |2 nationallicence 
690 7 |a Bede's characterization theorem  |2 nationallicence 
690 7 |a High order Runge-Kutta method  |2 nationallicence 
690 7 |a Seikkala derivative  |2 nationallicence 
700 1 |a Ahmadian  |D Ali  |u Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia  |4 aut 
700 1 |a Salahshour  |D Soheil  |u Department of Computer Engineering, College of Technical and Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran  |4 aut 
700 1 |a Chan  |D Chee  |u Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/4(2015-04-01), 1051-1062  |x 1432-7643  |q 19:4<1051  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1314-9  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1314-9  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Ahmadian  |D Ali  |u Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Salahshour  |D Soheil  |u Department of Computer Engineering, College of Technical and Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chan  |D Chee  |u Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/4(2015-04-01), 1051-1062  |x 1432-7643  |q 19:4<1051  |1 2015  |2 19  |o 500