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Intuitionistic fuzzy non linear programming problem: Modeling and optimization in manufacturing systems

机译:直觉模糊非线性规划问题:制造系统中的建模和优化

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摘要

This paper develops an approach for solving non-linear programming problem in intuitionistic fuzzy environment. Since, fuzziness may occur in some or all parameters of a system, we discuss both situations in this study. We transform the intuitionistic fuzzy model into a fuzzy model using the concept of component wise optimization. We propose a non-linear membership function and utilize it to convert the fuzzy model into a crisp model. For application, we consider some manufacturing systems having some or all intuitionistic fuzzy parameters. After modeling these systems, we apply our methodology for justification.
机译:本文提出了一种解决直觉模糊环境中非线性规划问题的方法。由于模糊性可能会出现在系统的某些或所有参数中,因此我们将在本研究中讨论这两种情况。我们使用组件优化的概念将直觉模糊模型转换为模糊模型。我们提出了一种非线性隶属度函数,并利用它将模糊模型转换为清晰模型。对于应用,我们考虑一些具有一些或全部直觉模糊参数的制造系统。在对这些系统进行建模之后,我们将我们的方法用于论证。

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