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集对分析聚类预测法融合了集对分析中的同异反模式识别的“择近原则”和聚类分析的基本思想,是解决模糊、随机以及其他不确定性问题的一种新方法。简要介绍了集对分析聚类预测法的基本原理及其在大坝变形监测数据处理中的应用。通过对丹江口水电站坝体监测的连续观测数据的计算分析,论证了该方法在大坝变形监测中的可行性和有效性。
Set pair analysis Clustering prediction method combines the basic principle of “Proximity Principle ” and clustering analysis of same-opposite anti-pattern recognition in set pair analysis, and is a new solution to fuzzy, random and other uncertain problems method. The basic principle of set pair analysis clustering prediction method and its application in data processing of dam deformation monitoring are briefly introduced. Through the calculation and analysis of the continuous observation data of dam body monitoring in Danjiangkou Hydropower Station, the feasibility and effectiveness of this method in dam deformation monitoring are demonstrated.