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Reliability Evaluation of Complex System with Fuzzy Reliability of Components using Interval Nonlinear Programming

机译:基于区间非线性规划的零件模糊可靠性复杂系统的可靠性评估。

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摘要

We have considered reliability of components of complex system is fuzzy in nature. Since reliability components are taken fuzzy in nature, so system reliability is also in fuzzy nature. We apply Zadeh’s extension principal and interval arithmetic operation to evaluate reliability of the system assembled with fuzzy reliability of components. We approximate the system reliability to a fuzzy number and evaluate the corresponding maximum divergence. Here, we demonstrate a bridge network whose components reliability are taken as triangular fuzzy number. Evaluating reliability of the system belongs to an interval. We have considered cost constrained goal as an interval number, interval nonlinear programming is used to find out the system reliability. Numerical examples are given to illustrate the approach to evaluate the system reliability.
机译:我们已经考虑到复杂系统组件的可靠性本质上是模糊的。由于可靠性组件本质上是模糊的,因此系统可靠性也是模糊的。我们使用Zadeh的扩展原理和区间算术运算来评估装配有组件的模糊可靠性的系统的可靠性。我们将系统可靠性近似为一个模糊数,并评估相应的最大偏差。在这里,我们演示了一个桥梁网络,其组件可靠性被视为三角模糊数。评估系统的可靠性属于一个区间。我们已经将成本受限的目标视为一个区间数,使用区间非线性规划来找出系统可靠性。数值例子说明了评估系统可靠性的方法。

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