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Fuzzy generalized fractional power series technique for simulating fuzzy fractional relaxation problem

  • Foundation, algebraic, and analytical methods in soft computing
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Abstract

In this paper, the fuzzy generalized fractional power series method is proposed to obtain the numerical solutions of a class of fuzzy fractional relaxation problems. For this purpose, the fuzzy generalized fractional power series under different types of the Caputo generalized Hukuhara differentiability are introduced. Some theorems are generalized for the fuzzy generalized fractional power series. This method is based on first taking the truncated fuzzy generalized fractional power series of the functions in the relaxation problem and then substituting them into the equation. Hence, the result equation can be solved, and the unknown fuzzy coefficients can be found. In addition, to demonstrate the efficiency of the method, some examples are solved.

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Acknowledgements

The authors would like to express deep gratitude to the editors and referees for their valuable suggestions which led us to a better presentation of this paper.

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Author notes

  1. Khatereh Ebdalifar, Tofigh Allahviranloo, Mohsen Rostamy-Malkhalifeh and Mohammad Hassan Behzadi have contributed equally to this work.

Authors and Affiliations

  1. Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Khatereh Ebdalifar, Tofigh Allahviranloo, Mohsen Rostamy-Malkhalifeh & Mohammad Hassan Behzadi

  2. Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey

    Tofigh Allahviranloo

Authors
  1. Khatereh Ebdalifar
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  2. Tofigh Allahviranloo
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  3. Mohsen Rostamy-Malkhalifeh
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  4. Mohammad Hassan Behzadi
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Contributions

KE conceived of the presented idea. TA developed the theory and contributed to the design and implementation of the research. MR-M and MHB contributed to the analysis of the results and the writing of the manuscript. TA supervised the project. All authors discussed the results and contributed to the final manuscript.

Corresponding author

Correspondence to Tofigh Allahviranloo.

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Ebdalifar, K., Allahviranloo, T., Rostamy-Malkhalifeh, M. et al. Fuzzy generalized fractional power series technique for simulating fuzzy fractional relaxation problem. Soft Comput 27, 2171–2184 (2023). https://doi.org/10.1007/s00500-022-07742-0

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