A reduction algorithm of fuzzy time series model based on a kind of new fuzzy sets

摘要：

　　Facing the shortcomings of fuzzy set in fuzzy time series, a new data fuzzification method is presented by a kind of new fuzzy sets based on distance sense. Then, the reduction algorithm of fuzzy rules is given by the characteristic expansion method. Finally, through the forecasting of Alabama university enrollments, the results show that the proposed method is effective.

关键词： Fuzzy time series Fuzzy sets Characteristic coefficient Degree of correlation Rules reduction

作者: CHEN Gang LI Jinling WANG Pengfei

作者单位: Department of Mathematics, Dalian Maritime University, Dalian,116026

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 5156-5161

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）