Combine AI software with Class Ratio Theorem in the Study of Grey Interpolation Generating
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For prediction, it is mathematically defined as extrapolation. The most basic element of the extrapolation method is that all values must be equally gap and no value can be missed. For grey prediction model, the problem still exists. Therefore, the main purpose of this paper is to use class ratio generating mathematics model as the starting point and studied grey interpolation generating in grey system theory. Through the mathematics analysis, and combine with Matlab and LabVIEW method, hoped the missing data can be filled quickly when we calculate the data. In this paper, class ration generating is analyzed at first. Then AI software, including Matlab and LabVIEW, are proposed to develop useful computer toolbox, which helps the complex and huge data analysis and calculation. Through the analysis and integration of class ratio model, Matlab and LabVIEW, the results not only can let us have deeper understanding in grey interpolation generating, but also be integrated as the foundation of pre-processing and system of hardware.