List of Articles Saeid Abbasbandy

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  1 - Homotopy analysis method and its application for singularly perturbed delay differential equations with layer behavior
  H. Sahihi Saeid Abbasbandy توفیق الهویرانلو
  در این مقاله یک روش تحلیلی بر پایه‌ی روش تحلیل هموتوپی برای حل معادله دیفرانسیل-تفاضلی اختشاشی منفرد ارائه شده است. معادلات مورد بررسی در این مقاله از نوع تاخیری است که دارای رفتار لایه مرزی نیز هستند. تفاوت روش تحلیل هموتوپی با روشهای تحلیلی دیگر فراهم کردن یک راه ساده More

  در این مقاله یک روش تحلیلی بر پایه‌ی روش تحلیل هموتوپی برای حل معادله دیفرانسیل-تفاضلی اختشاشی منفرد ارائه شده است. معادلات مورد بررسی در این مقاله از نوع تاخیری است که دارای رفتار لایه مرزی نیز هستند. تفاوت روش تحلیل هموتوپی با روشهای تحلیلی دیگر فراهم کردن یک راه ساده برای کنترل ناحیه همگرایی سری جواب بدست آمده معادله با استفاده از پارامتر کمکی تعبیه شده در این روش است. در این مقاله صحت و درستی و همچنین دقت بالای جوابهای حاصل از حل معادله دیفرانسیل-تفاضلی اختشاشی منفرد تاخیری با استفاده از روش تحلیل هموتوپی با آوردن دو مثال عددی نشان داده شده است، با مقایسه جوابهای به دست آمده از روش تحلیل هموتوپی با روشهای عددی دیگر متوجه می‌شویم که استفاده از روش تحلیل هموتوپی برای حل معادله مذکور علاوه بر راحتی در پیاده سازی آن روی این نوع مسائل، نتایج بهتری را نیز فراهم می‌آورد. بعلاوه قضایای همگرایی روش مورد بحث و بررسی قرار گرفته است. Manuscript profile
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  2 - Solving Fuzzy Integral Equations of the Second Kind by using the Reproducing Kernel Hilbert Space Method
  Seddigheh Farzaneh Javan Saeid Abbasbandy Mohammad Ali Fariborzi Araghi
  In this study, a new approach based on the Reproducing Kernel Hilbert Space Method is proposed to approximate the solution of the second kind fuzzy linear integral equations. For this purpose, at first by applying the concept of parametric form, the fuzzy integral equat More

  In this study, a new approach based on the Reproducing Kernel Hilbert Space Method is proposed to approximate the solution of the second kind fuzzy linear integral equations. For this purpose, at first by applying the concept of parametric form, the fuzzy integral equation is converted to a system of crisp integral equations. Then, this system is solved by using the reproducing kernel method free of the Gram-Schmidt orthogonalization process. Also, two numerical algorithms are proposed based on applying the Gram-Schmidt process and without using it. The general form of numerical solution accordingly the reproducing kernel method is introduced and the convergence theorem of solution of the proposed scheme to the exact solution is proved. Finally, a sample fuzzy integral equation is solved by means of both suggested algorithms and the results are compared for differents points and levels. Due to the difficulties in applying the Gram-Schmidt process, the obtained results of the new algorithm are satisfactory. Manuscript profile
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  3 - An application of fuzzy fractional partial differential equations on heart sound signal denoising
  farnoosh karimi Tofigh Allahviranloo Saeed Abbasbandy
  Cardiovascular system is a permanent source of information which incorporate to declaration of Cardiovascular diseases. The existence of available valid data is the main part of any research study. Today, in the field of human life study, experimental data by means of d More

  Cardiovascular system is a permanent source of information which incorporate to declaration of Cardiovascular diseases. The existence of available valid data is the main part of any research study. Today, in the field of human life study, experimental data by means of different issues are always deviated from their actual values not only in measurement errors but also it is appeared due to the measuring concept. Composing of heart signal, as a real example of signals, with noise signal causes ambiguity in which classical available methods become disable in correct processing and interpretation of these signals. This paper is focused on proposing an algorithm in signal noise reduction of heart sound signal at pre-processing step. This novel de-noising method of heart sound signal is established on arbitrary order fuzzy partial differential equations. Fuzzification is done due to eliminating of absolute boundaries. The propose algorithm of noise reduction is examined by adding Gaussian white noise to the normal heart sound signal without any noise. De-noising method is implemented after presenting the model concept. Attaining the (FFPDE) filter is including the following steps: the filter matrix is defined after using the backward Euler scheme to discretize the fuzzy differential equation. The results indicated that using of fuzzy fractional partial differential equations was completely effective in de-noising of heart sound signals. Manuscript profile
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  4 - Investigating the Relationship between Ordinary and Fuzzy Inner Product Spaces
  Nasim Gholami Saeid Abbasbandy Nasrin Karamikabir
  10.30495/jnrm.2023.51656.1868
  In this paper, we study the relationship between ordinary inner product spaces and fuzzy inner product spaces. We introduce fuzzy inner product as ⟨.,.⟩(.). Also, we write norm by parameter. Here are some types of arbitrary spaces. We show that these spaces are fuzzy in More

  In this paper, we study the relationship between ordinary inner product spaces and fuzzy inner product spaces. We introduce fuzzy inner product as ⟨.,.⟩(.). Also, we write norm by parameter. Here are some types of arbitrary spaces. We show that these spaces are fuzzy inner product spaces. Furthermore, we investigate fuzzy convergence, fuzzy Cauchy, fuzzy complete and fuzzy Hilbert in the space W^m [0,1] by fuzzy inner space which is in the form ⟨.,.⟩(.). We study relationship between ordinary Hilbert space and fuzzy Hilbert space. Then we give a new definition of the fuzzy reproducing kernel property, where fuzzy inner product is by parameter λ. The properties of the fuzzy reproducing kernel are completely discussed in this paper. We study relationship between ordinary Hilbert space and fuzzy Hilbert space. Then we give a new definition of the fuzzy reproducing kernel property, where fuzzy inner product is by parameter λ. The properties of the fuzzy reproducing kernel are completely discussed in this paper. Manuscript profile
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  5 - The use of radial basis functions by variable shape parameter for solving partial differential equations
  H. Nojavan S. Abbasbandy T. Allahviranloo
  In this paper, some meshless methods based on the local Newton basis functions are used to solve some time dependent partial differential equations. For stability reasons, used variably scaled radial kernels for constructing Newton basis functions. In continuation, with More

  In this paper, some meshless methods based on the local Newton basis functions are used to solve some time dependent partial differential equations. For stability reasons, used variably scaled radial kernels for constructing Newton basis functions. In continuation, with considering presented basis functions as trial functions, approximated solution functions in the event of spatial variable with collocation method. Then, with aid of method of lines obtained a system of ordinary differential equations according to solution function in the event of time. Methods applied for solving the nonlinear Burgers’ equation and couple Burgers’ equation. The numerical results show that the proposed method is efficient, accurate and stable. Manuscript profile
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  6 - gH-differentiable of the 2th-order functions interpolating
  H. Vosoughi S. Abbasbandy
  Fuzzy Hermite interpolation of 5th degree generalizes Lagrange interpolation by fitting a polynomial to a function f that not only interpolates f at each knot but also interpolates two number of consecutive Generalized Hukuhara derivatives of f at each knot. The provide More

  Fuzzy Hermite interpolation of 5th degree generalizes Lagrange interpolation by fitting a polynomial to a function f that not only interpolates f at each knot but also interpolates two number of consecutive Generalized Hukuhara derivatives of f at each knot. The provided solution for the 5th degree fuzzy Hermite interpolation problem in this paper is based on cardinal basis functions linear combination for 5th degree polynomials linear space and same approach develops to introduce 5th degree fuzzy piecewise Hermite interpolation polynomials. At first, construction method along with an example has presented for 5 th degree fuzzy Hermite interpolation. Because of the introduced method applies for interpolation of first order Generalized Hukuhara differentiable functions so during an example cubic fuzzy Hermite interpolation polynomial compares with fuzzy Hermite polynomial and we explain the superiority of the presented piecewise method next in the end we provide 5th degree fuzzy piecewise Hermite interpolation polynomial. Using such interpolant shows that the smoothness condition improves for interpolation polynomial core when successive degree of fuzzy piecewise Hermite interpolation polynomial comes up from three to five. Manuscript profile