Fuzzy data analysis-Methods and industrial applications

Many industrial problems require adequate interpretation of data which are present in the respective situations. For example process monitoring, diagonsis, quality control, and prediction are some of these tasks. All the related problems have in common that a large amount of data describing the respective area exists. But in most cases the information contained in the data is not used sufficiently. Since the above described problems have different characteristics a multitude of methods for analysing the existing data is needed to solve the related problems. In this article the authors give an overview over advanced methods for data analysis, present a software tool which supports the application of these methods, and show some industrial realizations to emphasize the benefits of advanced data analysis.