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Modeling and optimization of multi objective non-linear programming problem in intuitionistic fuzzy environment

机译:直觉模糊环境下的多目标非线性规划问题的建模与优化

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In dealing with real world practical optimization problems, a decision maker usually faces a state of uncertainty as well as hesitation, due to various unpredictable factors. Sometimes it is necessary to optimize several non-linear and conflicting objectives simultaneously. To deal with the uncertain parameters which arise in such situations, intuitionistic fuzzy numbers are utilized. We formulate a multiobjective non-linear programming problem in intuitionistic fuzzy environment. We propose a linear ranking function and utilize it to convert the intuitionistic fuzzy model into a crisp model. After converting the problem into equivalent crisp problem, we propose a non-linear membership function and develop various approaches for solving it by using different operators and fuzzy programming technique. We apply our methodologies for justification to a numerical problem in manufacturing systems.
机译:在处理现实世界中的实际优化问题时,由于各种不可预测的因素,决策者通常会面临不确定性和犹豫的状态。有时有必要同时优化几个非线性和冲突的目标。为了处理在这种情况下出现的不确定参数,利用直觉模糊数。我们在直觉模糊环境中提出了一个多目标非线性规划问题。我们提出了一种线性排序函数,并利用它将直觉模糊模型转换为清晰模型。将问题转化为等效的脆性问题后,我们提出了一种非线性隶属函数,并通过使用不同的算子和模糊规划技术开发了多种求解方法。我们将我们的方法论应用于生产系统中的数值问题。

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