Temperature prediction using fuzzy time series
By Shyi-Ming Chen, Jeng-Ren Hwang. IEEE Trans. Syst. Man Cybern. Part B, 2000
426 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/8ec43d1e9142af4cd7be7a31b8030891f9208924
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In Artificial Intelligence
In Management Science and Operations Research
Citations in the corpus
- Ratio-based lengths of intervals to improve fuzzy time series forecasting (2006, methodology): “These fuzzy time series models have been applied to various problem domains, such as enrollment [3], [10], [12], [25], [26], [28], stock indices [8], [10], [12], [35], [37], and temperature forecasting [4].”
- FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002, methodology): “…handling forecasting problems using fuzzy time series, where the historical enrollment data of the University of Alabama (Song and Chissom 1993a, 1994) are used to illustrate the forecasting process: In Chen and Hwang (2000), we presented a method for temperature prediction using fuzzy time series.”