提出了一种基于二因子二阶模糊趋势逻辑关系组和模糊逻辑关系趋势概率预测taiex的新方法

2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI:10.1109/ICMLC.2014.7009138

Shyi-Ming Chen, Shen-Wen Chen

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引用次数: 2

摘要

本文提出了一种基于二因子二阶模糊趋势逻辑关系组和模糊趋势逻辑关系趋势概率的模糊预测新方法。并将此方法应用于台湾证券交易所市值加权股票指数(TAIEX)的预测。实验结果表明，该方法优于现有方法。

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A new method for forecasting the taiex based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy logical relationships

This paper presents a new method for fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy-trend logical relationships. We also apply the proposed method to forecast the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX). The experimental results show that the proposed method outperforms the existing methods.

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2014 International Conference on Machine Learning and Cybernetics

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