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Fuzzy variable based fuzzy non-linear programming approach for optimization of complex system reliability

机译:基于模糊变量的模糊非线性规划方法优化复杂系统可靠性

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摘要

All most all systems in the field of science and technology are well complicated by the advent of modernity. Complex system reliability is mainly dependant on the credibility of its components. It is very difficult to evaluate precise value of component's reliability at the beginning stage of reliability evaluation, due to unavailable or inadequate information. In this respect, fuzzy reliability variable can play an important role in complex system reliability evaluation. In this paper, a fuzzy reliability variable based fuzzy non-linear programming problem is formulated to maximize the complex system reliability. Symmetrical trapezoidal fuzzy numbers are used as fuzzy variable for the component's reliability. Since fuzzy variable for optimization is not well defined, we first reduced the problem to an equivalent multi-objective non-linear programming problem. The proposed approach is applied on landing system of Boeing 747D airplane to evaluate the system reliability in fuzzy environment. The proposed approach and the complex system reliability model are well substantiated by providing numerical examples.
机译:随着现代技术的出现,科学技术领域中的所有大多数系统都变得非常复杂。复杂系统的可靠性主要取决于其组件的信誉。由于没有信息或信息不足,在可靠性评估的初始阶段很难评估组件可靠性的精确值。在这方面,模糊可靠性变量可以在复杂系统可靠性评估中发挥重要作用。本文提出了一种基于模糊可靠性变量的模糊非线性规划问题,以最大化复杂系统的可靠性。对称梯形模糊数用作组件可靠性的模糊变量。由于优化的模糊变量定义不明确,因此我们首先将问题简化为等效的多目标非线性规划问题。该方法被应用于波音747D飞机的着陆系统,以评估系统在模糊环境下的可靠性。通过提供数值示例,充分证明了所提出的方法和复杂的系统可靠性模型。

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