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A Vague Sets Based Hierarchical Synthetic Evaluation Algorithm for Health Condition Assessment

机译:基于模糊的健康状况评估的分层合成评估算法

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The hierarchical synthetic evaluation algorithm for health condition assessment of buried water pipeline is studied. Usually, the deterioration of buried pipeline is influenced by many uncertainty factors, such as material, surrounding environment, etc. It is essential to properly represent and use multi-source information to conduct rational health condition evaluation analysis. By the use of a hierarchical framework, a vague sets based synthetic evaluation algorithm has been developed for supporting such evaluation analysis, the kernel of which organizes data, measures similarity and evaluates the result on the basis of the vague sets. Compared with the existing fuzzy comprehensive evaluation method, this method is more powerful and efficient to deal with conflicting information as well as partial ignorance.
机译:研究了埋地水管道健康状况评价的分层综合评价算法。通常,埋地​​管道的恶化受许多不确定性因素的影响,例如材料,周围环境等。必须适当地代表和使用多源信息来进行理性健康状况评估分析。通过使用分层框架,已经开发了一种模糊组的合成评估算法,用于支持这种评估分析,其中的内核组织数据,测量相似性并根据模糊的集合评估结果。与现有的模糊综合评价方法相比,这种方法更加强大,有效地处理冲突的信息以及部分无知。

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