DocumentCode
177215
Title
A reduction algorithm of fuzzy time series model based on a kind of new fuzzy sets
Author
Gang Chen ; Jinling Li ; Pengfei Wang
Author_Institution
Dept. of Math., Dalian Maritime Univ., Dalian, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
5156
Lastpage
5161
Abstract
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.
Keywords
educational institutions; forecasting theory; fuzzy set theory; time series; Alabama university enrollment forecasting; characteristic expansion method; data fuzzification method; distance sense; fuzzy rule reduction algorithm; fuzzy sets; fuzzy time series model; Correlation; Educational institutions; Forecasting; Fuzzy sets; Fuzzy systems; Mathematical model; Time series analysis; Characteristic coefficient; Degree of correlation; Fuzzy sets; Fuzzy time series; Rules reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6853100
Filename
6853100
Link To Document