Strong (α, k)-cut and computational-based segmentation based novel hesitant fuzzy time series forecasting model-Reference-Cited by-同舟云学术

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Strong (α, k)-cut and computational-based segmentation based novel hesitant fuzzy time series forecasting model

Published:2024-03 Issue: Volume:153 Page:111251
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Pant Manish^ORCID,Mehra Nisha^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. Fuzzy set;Zadeh;Inf. Control,1965

2. Arqub, Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm-Volterra integrodifferential equations;Abu;Neural Comput. Appl.,2017

3. Residual series representation algorithm for solving fuzzy duffing oscillator equations;Alshammari;Symmetry,2020

4. Reproducing kernel approach for numerical solutions of fuzzy fractional initial value problems under the Mittag–Leffler kernel differential operator;Abu Arqub;Math. Methods Appl. Sci.,2023

5. Adaptation of kernel functions-based approach with Atangana–Baleanu–Caputo distributed order derivative for solutions of fuzzy fractional Volterra and Fredholm integrodifferential equations;Abu Arqub;Math. Methods Appl. Sci. 6,2023

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