Abstract
To promote the forecasting performance of Fuzzy time-series models, based on complex network, a novel fuzzy time series model for stock price forecasting was pressented, this pressented model includes the concept of the complex network and weighted adaptive expectation method. By comparing the fuzzy time series model of based on complex network and weighted adaptive expectation fuzzy time series model, we conclude that the pressented model surpasses weighted adaptive expectation model in accuracy.
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