用牛顿-拉斐逊法数值求解广义梯形模糊条件下的模糊非线性方程

Sanjoy Basu , G.S. Mahapatra
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引用次数: 0

摘要

在现实世界中,我们会遇到许多无法用清晰值简单描述的问题,因为在现实生活中总是存在一些不确定性,在这种情况下,我们最终得到的是模糊值而不是清晰值。本文讨论了模糊集的一些初步概念,以及梯形模糊数与成员函数相结合的运算。本文旨在展示新开发的模糊化牛顿-拉夫逊方法在梯形模糊数帮助下求解模糊环境中出现的代数非线性方程的优势。本文还描述了用于求解该方程的新顿-拉夫逊技术算法。本文列举了几个例子,说明新的模糊化新顿-图森方法是如何工作的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical solution of fuzzy non-linear equations under generalized trapezoidal fuzziness by Newton–Raphson method
In the real world, we are faced with many problems that cannot be easily described by crisp values, as there is always some uncertainty involved in real-life situations and in those situations, we end up receiving fuzzy values rather than crisp ones in those situations. Some preliminary concepts of fuzzy sets and operations on trapezoidal fuzzy numbers incorporated with the membership function have been discussed here. This paper aims to demonstrate the advantages of the newly developed fuzzified newton–raphson method with the help of trapezoidal fuzzy numbers for solving algebraic nonlinear equations arising in fuzzy environments. The algorithm of newton–raphson techniques for solving the same has been described. This paper presents several examples of how the new fuzzified newton–raphson method works.
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