DocumentCode
2541903
Title
Forecasting enrolments with high-order fuzzy time series
Author
Tsai, Chao-Chih ; Wu, Shun-Jyh
Author_Institution
Dept. of Math. Educ., Nat. Tainan Teachers Coll., Taiwan
fYear
2000
fDate
2000
Firstpage
196
Lastpage
200
Abstract
This paper studies the influence of a novel scheme. First-order fuzzy time series models embedded with this novel scheme become high-order. To illustrate this high-order model, the forecasting of enrolments is conducted. The results are compared with those of Chen´s method and those of the Song-Chissom method. It is found that the root mean square error of the forecast can be improved from 630.86 for Chen´s method and 624.23 for the Song-Chissom method to 199.32 for the proposed model
Keywords
educational administrative data processing; fuzzy logic; fuzzy set theory; time series; enrolment forecasting; high-order fuzzy time series; high-order model; root mean square error; Chaos; Educational institutions; Equations; Exchange rates; Fuzzy sets; Humans; Mathematics; Predictive models; Public finance; Root mean square;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-6274-8
Type
conf
DOI
10.1109/NAFIPS.2000.877419
Filename
877419
Link To Document