Long-term intuitionistic fuzzy time series forecasting model based on DTW
In existing fuzzy time series forecasting models,the intuitionistic fuzzy relationship groups and deterministic transition rules excessively relied on scale of the training data.A long-term intuitionistic fuzzy time series (IFTS) fore-casting model based on DTW was proposed.The IFTS segment base was...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-08-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016160/ |
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| _version_ | 1841539168160710656 |
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| author | Xiao-shi FAN Ying-jie LEI Yan-li LU Ya-nan WANG |
| author_facet | Xiao-shi FAN Ying-jie LEI Yan-li LU Ya-nan WANG |
| author_sort | Xiao-shi FAN |
| collection | DOAJ |
| description | In existing fuzzy time series forecasting models,the intuitionistic fuzzy relationship groups and deterministic transition rules excessively relied on scale of the training data.A long-term intuitionistic fuzzy time series (IFTS) fore-casting model based on DTW was proposed.The IFTS segment base was constructed by IFCM.The complexity of sys-tem was reduced by dynamic update and maintaining of the rule base.The computing method of IFTS segments similar-ity based on the distance of DTW was proposed,which was valid for matching unequal length time series segments.The proposed model implements on the synthetic and the temperature dataset,which including different time series patterns,respectively.The experiments illustrate that the forecasting accuracy of the proposed model is higher than the others on the different tendency patterns of time series.The proposed model overcomes the limitation of single time series pattern and improves the generalization ability. |
| format | Article |
| id | doaj-art-0998dbb9fce4461394d2393de7a08cda |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-0998dbb9fce4461394d2393de7a08cda2025-01-14T07:25:32ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-08-01379510459702738Long-term intuitionistic fuzzy time series forecasting model based on DTWXiao-shi FANYing-jie LEIYan-li LUYa-nan WANGIn existing fuzzy time series forecasting models,the intuitionistic fuzzy relationship groups and deterministic transition rules excessively relied on scale of the training data.A long-term intuitionistic fuzzy time series (IFTS) fore-casting model based on DTW was proposed.The IFTS segment base was constructed by IFCM.The complexity of sys-tem was reduced by dynamic update and maintaining of the rule base.The computing method of IFTS segments similar-ity based on the distance of DTW was proposed,which was valid for matching unequal length time series segments.The proposed model implements on the synthetic and the temperature dataset,which including different time series patterns,respectively.The experiments illustrate that the forecasting accuracy of the proposed model is higher than the others on the different tendency patterns of time series.The proposed model overcomes the limitation of single time series pattern and improves the generalization ability.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016160/DTWintuitionistic fuzzy setsIFCM clusteringtime seriesforecasting |
| spellingShingle | Xiao-shi FAN Ying-jie LEI Yan-li LU Ya-nan WANG Long-term intuitionistic fuzzy time series forecasting model based on DTW Tongxin xuebao DTW intuitionistic fuzzy sets IFCM clustering time series forecasting |
| title | Long-term intuitionistic fuzzy time series forecasting model based on DTW |
| title_full | Long-term intuitionistic fuzzy time series forecasting model based on DTW |
| title_fullStr | Long-term intuitionistic fuzzy time series forecasting model based on DTW |
| title_full_unstemmed | Long-term intuitionistic fuzzy time series forecasting model based on DTW |
| title_short | Long-term intuitionistic fuzzy time series forecasting model based on DTW |
| title_sort | long term intuitionistic fuzzy time series forecasting model based on dtw |
| topic | DTW intuitionistic fuzzy sets IFCM clustering time series forecasting |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016160/ |
| work_keys_str_mv | AT xiaoshifan longtermintuitionisticfuzzytimeseriesforecastingmodelbasedondtw AT yingjielei longtermintuitionisticfuzzytimeseriesforecastingmodelbasedondtw AT yanlilu longtermintuitionisticfuzzytimeseriesforecastingmodelbasedondtw AT yananwang longtermintuitionisticfuzzytimeseriesforecastingmodelbasedondtw |