Muhammad Waheed Iqbal, Adeel Farooq, Muhammad Yousaf Bhatti
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引用次数: 0
Abstract
An m-polar fuzzy set model is a mathematical tool for dealing with uncertainty in multipolar data. This paper extensively investigates the use of the eigenvalue-eigenvector approach to solve nth order differential equations with distinctive m-polar fuzzy initial conditions. It digs further into three different eigenvalue scenarios using this strategy. Given that we are working with m-polar fuzzy numbers, the solution is a fuzzy number encompassing each component. Furthermore, the methodology is explained through a variety of examples to aid readers in understanding the principles. Moreover, the graphical presentation of the solution is also provided.
多极模糊集模型是处理多极数据不确定性的数学工具。本文广泛研究了如何利用特征值-特征向量方法来求解具有独特 m 极模糊初始条件的 n 次微分方程。本文进一步探讨了使用这一策略的三种不同特征值方案。鉴于我们使用的是多极模糊数，因此解法是一个包含每个分量的模糊数。此外，我们还通过各种实例解释了这一方法，以帮助读者理解其原理。此外，我们还提供了解决方案的图形展示。
期刊介绍：
JAMC is a broad based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. Major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptograhics, fuzzy theory with applications, differential equations with applications are all included. A large variety of scientific problems also necessarily involve Algebra, Analysis, Geometry, Probability and Statistics and so on. The journal welcomes research papers in all branches of mathematics which have some bearing on the application to scientific problems, including papers in the areas of Actuarial Science, Mathematical Biology, Mathematical Economics and Finance.
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