标题: | Temperature prediction using fuzzy time series |
作者: | Chen, SM Hwang, JR 资讯工程学系 Department of Computer Science |
关键字: | main-factor fuzzy time series;second-factor fuzzy time series;temperature prediction;time-invariant fuzzy time series;time-variant fuzzy time series |
公开日期: | 1-四月-2000 |
摘要: | A drawback of traditional forecasting methods is that they can not deal with forecasting problems in which the historical data are represented by linguistic values. Using fuzzy time series to deal with forecasting problems can overcome this drawback. In this paper, we propose a new fuzzy time series model called the two-factors time-variant fuzzy time series model to deal with forecasting problems. Based on the proposed model,,ve develop two algorithms for temperature prediction. Both algorithms have the advantage of obtaining good forecasting results. |
URI: | http://dx.doi.org/10.1109/3477.836375 http://hdl.handle.net/11536/30610 |
ISSN: | 1083-4419 |
DOI: | 10.1109/3477.836375 |
期刊: | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS |
Volume: | 30 |
Issue: | 2 |
起始页: | 263 |
结束页: | 275 |
显示于类别: | Articles |
文件中的档案:
If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.