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论文类型：期刊论文

发表时间：2010-10-01

发表刊物：ICIC Express Letters

收录刊物：EI、Scopus

卷号：4

期号：5

页面范围：1431-1438

ISSN号：1881803X

摘要：Since the fuzzy time series model was proposed in 1993, a number of different extension models have been proposed, which are forecasting with the similar or improved fuzzy logical relationship defined by Song and Chissom. This study presents a new fuzzy logical relationship and an operation for creating fuzzy logical relation matrix to overcome the instability of fuzzy set selection in forecasting process of time series models. Both university enrollment and Shanghai stock index are chosen as the forecasting targets. The empirical results show that the proposed model greatly outperforms the conventional counterparts. ICIC International ? 2010 ISSN.