For any system in the real world, it is known that the original data is always random. Therefore, before it can be operational, the data must be retreated; otherwise, there may be errors in the results. In grey system theory, it contains a large amount of data and complex mathematical operation; the application software design of grey system theory in the past was written individually. Though this way could solve the problem for the moment, it is not very sufficient for the generating in using the scope of the aspect. In this paper, we develop the whole grey generating model toolbox in grey system theory, to cooperate with the study and application of in real system. Based on the above-mentioned reasons, we present four grey generating methods. By adopting Matlab, we create the idea of computer toolbox for grey system theory. As the results, in this paper, four kinds of grey generating methods are developed, we can say this completed research could be one of the main contributions and is the first research in grey generating. For our research, we get several important results: This completed grey generating toolbox to enhance the depth research of grey system; In addition to reduce time of analyzing and promote the analyzing level; Guide the grey system theory to the internationalization and reach the research of academy to promote the teaching.
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