Solution of neutrosophic fractional differential equations by neutrosophic extension principal method

This paper aims at a new approach for finding the solution of neutrosophic fuzzy fractional differential equations (NFFDEs) based on the Zadeh’s Extension Principle method. NFFDEs combine fractional-order systems with uncertainty, which deals with truth, indeterminacy, and falsity information. This approach competently addresses the challenges modeled by both the fractional derivatives and the indeterminate constructions characteristic of neutrosophic systems. The paper frames the theoretical framework, advances the solution process, and validates the usefulness of the method. Theoretical and numerical results validate that the Extension Principle method conserves vital properties of the fundamental systems while providing flexible and inclusive representations of uncertainty.

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Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-05-14
DOI
https://doi.org/10.55214/25768484.v9i5.7172
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Solution of neutrosophic fractional differential equations by neutrosophic extension principal method

Mohammed Nour A. Rabih
Edelweiss Applied Science and Technology
Optimization and Mathematical Programming
article

Solution of neutrosophic fractional differential equations by neutrosophic extension principal method

Mohammed Nour A. Rabih
article en

Abstract

This paper aims at a new approach for finding the solution of neutrosophic fuzzy fractional differential equations (NFFDEs) based on the Zadeh’s Extension Principle method. NFFDEs combine fractional-order systems with uncertainty, which deals with truth, indeterminacy, and falsity information. This approach competently addresses the challenges modeled by both the fractional derivatives and the indeterminate constructions characteristic of neutrosophic systems. The paper frames the theoretical framework, advances the solution process, and validates the usefulness of the method. Theoretical and numerical results validate that the Extension Principle method conserves vital properties of the fundamental systems while providing flexible and inclusive representations of uncertainty.

Edelweiss Applied Science and TechnologyVol. 9(5)
Qassim University (SA)
Openalex Percentile: Top 88%
Optimization and Mathematical Programming
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