High order intuitionistic fuzzy time series forecasting model
A high order intuitionistic fuzzy time series forecasting model was built.In the new model,fuzzy clustering algorithm was used to get unequal intervals,and a more objective technique for ascertaining membership and non-membership functions of intuitionistic fuzzy set was proposed.On these bases,fore...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016099/ |
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| _version_ | 1850123288918884352 |
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| author | Ya-nan WANG Ying-jie LEI Yang LEI Xiao-shi FAN |
| author_facet | Ya-nan WANG Ying-jie LEI Yang LEI Xiao-shi FAN |
| author_sort | Ya-nan WANG |
| collection | DOAJ |
| description | A high order intuitionistic fuzzy time series forecasting model was built.In the new model,fuzzy clustering algorithm was used to get unequal intervals,and a more objective technique for ascertaining membership and non-membership functions of intuitionistic fuzzy set was proposed.On these bases,forecasting rules based on mul-ti-dimension intuitionistic fuzzy modus ponens inference were established.At last,contrast experiments on the enroll-ments of the university of Alabama and the daily average temperature of Beijing were carried out,which show that the novel model has a clear advantage of improving the forecasting accuracy. |
| format | Article |
| id | doaj-art-63ed2b15209c4ea6950811a1ae4f9b7e |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-63ed2b15209c4ea6950811a1ae4f9b7e2025-08-20T02:34:39ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-05-013711512459701086High order intuitionistic fuzzy time series forecasting modelYa-nan WANGYing-jie LEIYang LEIXiao-shi FANA high order intuitionistic fuzzy time series forecasting model was built.In the new model,fuzzy clustering algorithm was used to get unequal intervals,and a more objective technique for ascertaining membership and non-membership functions of intuitionistic fuzzy set was proposed.On these bases,forecasting rules based on mul-ti-dimension intuitionistic fuzzy modus ponens inference were established.At last,contrast experiments on the enroll-ments of the university of Alabama and the daily average temperature of Beijing were carried out,which show that the novel model has a clear advantage of improving the forecasting accuracy.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016099/high orderintuitionistic fuzzy time seriesforecasting modelintuitionistic fuzzy inference |
| spellingShingle | Ya-nan WANG Ying-jie LEI Yang LEI Xiao-shi FAN High order intuitionistic fuzzy time series forecasting model Tongxin xuebao high order intuitionistic fuzzy time series forecasting model intuitionistic fuzzy inference |
| title | High order intuitionistic fuzzy time series forecasting model |
| title_full | High order intuitionistic fuzzy time series forecasting model |
| title_fullStr | High order intuitionistic fuzzy time series forecasting model |
| title_full_unstemmed | High order intuitionistic fuzzy time series forecasting model |
| title_short | High order intuitionistic fuzzy time series forecasting model |
| title_sort | high order intuitionistic fuzzy time series forecasting model |
| topic | high order intuitionistic fuzzy time series forecasting model intuitionistic fuzzy inference |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016099/ |
| work_keys_str_mv | AT yananwang highorderintuitionisticfuzzytimeseriesforecastingmodel AT yingjielei highorderintuitionisticfuzzytimeseriesforecastingmodel AT yanglei highorderintuitionisticfuzzytimeseriesforecastingmodel AT xiaoshifan highorderintuitionisticfuzzytimeseriesforecastingmodel |