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Open Access Research Article Issue
Existence of solutions of fractal fractional partial differential equations through different contractions
AIMS Mathematics 2024, 9(5): 12399-12411
Published: 15 May 2024
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In the past, the existence and uniqueness of the solutions of fractional differential equations have been investigated by many researchers theoretically in various approaches in the literature. In this paper, there is no discussion of the existence of solutions for the nonlinear differential equations with fractal fractional operators. The objective of this work is to present novel contraction approaches, notably the ∝- ψ-contraction ∝-type of the F ~ -contraction, within the context of F ^ -metric and orbital metric spaces. The aim of this study is to illustrate certain fixed point theorems that offer a new and direct approach to establish the existence and uniqueness of the solution to the general partial differential equations by employing the fractal fractional operators.

Open Access Research Article Issue
Controllability of fractional differential evolution equation of order γ ∈ ( 1 , 2 ) with nonlocal conditions
AIMS Mathematics 2023, 8(6): 14188-14206
Published: 15 June 2023
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This paper investigates the existence of positive mild solutions and controllability for fractional differential evolution equations of order γ ∈ ( 1 , 2 ) with nonlocal conditions in Banach spaces. Our approach is based on Schauder's fixed point theorem, Krasnoselskii's fixed point theorem, and the Arzelà-Ascoli theorem. Finally, we include an example to verify our theoretical results.

Open Access Article Issue
Suzuki-Type ( μ,ν)-Weak Contraction for the Hesitant Fuzzy Soft Set Valued Mappings with Applications in Decision Making
Computer Modeling in Engineering & Sciences 2025, 143(2): 2213-2236
Published: 30 May 2025
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In this manuscript, the notion of a hesitant fuzzy soft fixed point is introduced. Using this notion and the concept of Suzuki-type ( μ,ν)-weak contraction for hesitant fuzzy soft set valued-mapping, some fixed point results are established in the framework of metric spaces. Based on the presented work, some examples reflecting decision-making problems related to real life are also solved. The suggested method’s flexibility and efficacy compared to conventional techniques are demonstrated in decision-making situations involving uncertainty, such as choosing the best options in multi-criteria settings. We noted that the presented work combines and generalizes two major concepts, the idea of soft sets and hesitant fuzzy set-valued mapping from the existing literature.

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