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Redundancy Optimization using Intuitionistic Fuzzy Multi-Objective Programming

机译:基于直觉模糊多目标规划的冗余优化

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摘要

In this paper, redundancy allocation problem for system reliability has been presented with entropy as objective function. This model using entropy has been used to account for the lack of expert's information. The goal of entropy redundancy allocation problem is to find out optimal level of redundancies at each subsystem in a way that maximizes reliability and entropy of the system subject to specified system cost. Intuitionistic fuzzy optimization technique is used to analyze an entropy based reliability redundancy optimization problem. Numerical examples have been provided to illustrate the model.
机译:本文以熵为目标函数提出了系统可靠性的冗余分配问题。这种使用熵的模型已被用于解决专家信息的缺乏问题。熵冗余分配问题的目的是以某种方式找出每个子系统的最佳冗余程度,以最大程度地提高系统的可靠性和熵(取决于指定的系统成本)。直觉模糊优化技术被用于分析基于熵的可靠性冗余优化问题。提供了数值示例来说明该模型。

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