The software in engineering field, even in others filed become most important and more necessary in the 21 century, although there are many toolbox, such as fuzzy, chaos, …, etc., had been developed in the past, the grey toolbox still seldom and not quite completed. Therefore, in this paper, the focus is on the toolbox development of ordinal grey relational grade and cardinal grey relational grade by using Matlab, to development the completed grey relational grade toolbox. Firstly, we preview the whole mathematical foundation of grey relational grade in detail. Secondly, the mathematics model of ten kinds of grey relational grade, and two types of grey relational grades (ordinal and cardinal) are presented. Thirdly, based on the mathematics model, we use Matlab to develop the grey relational grade toolbox. As the results, in this paper, ten kinds of grey relational grade methods, and two types of grey relational grades (ordinal and cardinal) are developed, we can say this kind of completed research is the main contribution and is the first research in grey relational grade. Also can extends in the economy in benefit, for our research, the market price of the whole grey relational grade toolbox with our evaluation; at least will over US 500 dollars. To sum up, we hope this completed grey relational grade toolbox is not only to enhance the depth research of grey relation grade, buy also become a new approach for the applications in grey system theory.
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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