Abstract | ||
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•An envelopment procedure is developed for improving accuracy of GM and its extents.•A process of creating fuzzy short-term time series (FSTTS) data is proposed.•GM and its extents are adopted to construct predictive models with the FSTTS data.•A defuzzifying process is proposed for aggregating predictions of the GM models.•A forecasting task of customer demand in an IC-assembly company is revealed.•The experimental results demonstrate the effectiveness of the proposed method. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1016/j.cie.2019.106185 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Short term time series data,Fuzzy time series,Grey models | Data mining,Time series,Mathematical optimization,Fuzzy logic,Envelopment,Engineering,Gray (horse) | Journal |
Volume | ISSN | Citations |
139 | 0360-8352 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chien-Chih Chen | 1 | 111 | 20.42 |
Che-Jung Chang | 2 | 36 | 5.62 |
Zheng-Yun Zhuang | 3 | 0 | 0.34 |
Der-Chiang Li | 4 | 0 | 0.34 |