Mining stock price using fuzzy rough set system
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摘要
In this study of mining stock price data, we attempt to predict the stronger rules of stock prices. To address this problem, we proposed an effective method, a fuzzy rough set system to predict a stock price at any given time. Our system has two agents: one is a visual display agent that helps stock dealers monitor the current price of a stock and the other is a mining agent that helps stock dealers make decisions about when to buy or sell stocks. To demonstrate that our system is effective, we used it to predict the stronger rules of stock price and achieved at least 93% accuracy after 180 trials.
论文关键词:Rough set,Fuzzy rough set,Data mining,Matching degree,Truth value
论文评审过程:Available online 8 November 2002.
论文官网地址:https://doi.org/10.1016/S0957-4174(02)00079-9