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Fuzzy Comprehensive Approach Based on AHP and Entropy Combination Weight for Pipeline Leak Detection System Performance Evaluation

机译:基于AHP的模糊综合方法,管道泄漏检测系统性能评估的熵综合方法

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Recently research on the evaluation of pipeline leak detection systems has been developing due to the widespread of natural gas supply through pipeline transportation in urban areas. This paper presents an improved fuzzy comprehensive evaluation method for assessing the performance of leak detection systems. In this method, the weights of different indexes are calculated by combining entropy weight with AHP weight. Weighted average operator is introduced to replace the fuzzy operator in traditional evaluation models. And interval evaluation according to comment rank is also adopted for final evaluation results. Simulation experiments verify the effectiveness of new approach. Compared with other common evaluation methods, new approach could effectively enhance evaluation resolution, satisfying the requirement of pipeline leak detection application.
机译:最近关于管道泄漏检测系统评估的研究是由于城市地区通过管道运输的天然气供应普遍的发展。本文提出了一种改进的模糊综合评价方法,用于评估泄漏检测系统的性能。在该方法中,通过将熵权重合与AHP重量组合来计算不同索引的权重。引入加权平均运算符以取代传统评估模型中的模糊操作员。还采用了根据评论等级的间隔评估,但还采用了最终评估结果。仿真实验验证了新方法的有效性。与其他常见的评估方法相比,新方法可以有效地提高评估解决,满足管道泄漏检测应用的要求。

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