Fuzzy Clustering Method In The Deformation Analysis

The data processing and analysis of deformation monitoring is an important work, but the location, properties and spatial relationships of the object deformation are uncertain, the entire process is a complex, continuous and uncertain process from instability to stability. The methods of conventional analysis of deformation are various and with complex algorithms. Each method has its own advantages and disadvantages as well as the scope of application. Among various methods of deformation analysis, to find out which one is more convenient and more suitable for meeting the needs of the analysis of the actual process of deformation becomes a primary problem.Cluster analysis is a multiple analysis to study the classification of things. Fuzzy Clustering is based on fuzzy sets and reasonably classifies the targets according to their fuzzy relationship. Fuzzy Clustering analysis has the characteristics of describing and imitating human's way of thinking, quick and reasonable classification.Because of the outstanding advantage of Fuzzy Clustering analysis, this dissertation applies it to the complex field of deformation analysis. Facing the data collected from wild deformation monitoring, by constructing Fuzzy Similar Matrixes, seeking Fuzzy Equivalent Matrixes, defining the deformation level and Clustering Analysis, this dissertation carries out deformation analysis and comes to the stability and deformation conclusion. By comparing the concrete examples and conventional deformation analysis, this dissertation demonstrates the validity, reliability and practicality of Fuzzy Clustering method in deformation analysis, and finally writes the application programs to realize the automatic classification of Fuzzy Clustering method to deformation monitoring data and achieve the purpose of deformation analysis.