Abstract
In this paper, first the FKG gray system model based on second-order differential is given. This kind of new algorithm model is composed of fuzzy mathematics, k-means algorithm and grey system based on second-order differential, which is shorted for FKG system model. Meanwhile, through comparing the dates available in the new algorithm model with the one in the traditional model, the result showed that the new one has more advantages. Finally, we predict the cluster center required from the last month by using the historical date, the results are very satisfactory. This new model is good at predicting short-swing trading stock price and has practical value, which can provide some advices for people who are interested in short-swing trading investment. If people refer to it combined with some other market and social factors the result will be more helpful.
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Zou, K., Liu, S. (2010). FKG System Model Based on Second-Order Differential and Its Application in Stock Prediction. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_64
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DOI: https://doi.org/10.1007/978-3-642-14880-4_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14879-8
Online ISBN: 978-3-642-14880-4
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