文章基本信息

标题：A Fuzzy based Soft Computing Technique to Predict the Movement of the Price of a Stock
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作者：Ashit Kumar Dutta
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2018
卷号：9
期号：2
DOI：10.14569/IJACSA.2018.090245
出版社：Science and Information Society (SAI)
摘要：Soft computing is a part of an artificial intelligence, and fuzzy logic is the study of fuzziness on data. The combination of these two techniques can provide an intelligent system with more ability and flexibility. The nature of data in the stock/capital market is more complex and challenging to predict the movement of the price of the stock. The study has combined both fuzzy c-means and neural network technique for the prediction of the price of the stock. The research finds an optimum solution to predict the future price of a stock. The comparison of time and space complexity proved that the proposed method is better than the existing methods.
关键词：Soft computing; fuzzy logic; stock recommendation; fuzzy based soft computing; soft computing systems