论文标题
一种解决模糊非线性非构造优化问题的新方法
A New Approach to Solve the Fuzzy Nonlinear Unconstraint Optimization Problem
论文作者
论文摘要
本文使用优化方法研究了模糊的非线性系统方程。在这里，内部户外搜索技术与模糊系数和向量一起使用，以量化不确定的解决方案。模糊的非线性方程系统通过保留操作约束，将其转换为无约束的模糊多变量优化问题。然后应用开发模糊的内在搜索。通过示例问题证明了开发的算法。描述了所获得的不确定的解决方案，并将其与特殊情况进行了比较。当成员价值是统一时，发现结果非常同意。
This paper investigates fuzzy nonlinear system equations using an optimization approach. Here, the inner-outer direct search technique is used with fuzzy coefficients and vectors to quantify the uncertain solution. The fuzzy nonlinear system of equations is converted into an unconstrained fuzzy multivariable optimization problem with preserving the operating constraints. Then developed fuzzy inner-outer direct search is applied. The developed algorithm is demonstrated through an example problem. The obtained uncertain solutions are depicted and compared with the special case. The results are found to be in good agreement when the membership values are unity.
