FORECASTING ENROLLMENTS WITH FUZZY TIME-SERIES .1.

被引:758
作者
SONG, Q
CHISSOM, BS
机构
[1] College of Education, The University of Alabama, Tuscaloosa, AL
关键词
FUZZY TIME SERIES; ENROLLMENTS; MEMBERSHIPS; FORECASTING;
D O I
10.1016/0165-0114(93)90355-L
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
There have been a good many methods to forecast university enrollments in the literature. However, none of them could be applied when the historical data are linguistic values. Fuzzy time series is an effective tool to deal with such problems. In this paper, as an application of fuzzy time series in educational research, the forecast of the enrollments of the University of Alabama is carried out. In so doing, a fuzzy time series model is developed using historical data. A complete procedure is proposed which includes: fuzzifying the historical data, developing a fuzzy time series model, and calculating and interpreting the outputs. To evaluate the forecasting model, the robustness of the fuzzy time series model is tested. Advantages and problems of the forecasting method are also discussed.
引用
收藏
页码:1 / 9
页数:9
相关论文
共 17 条