Trend prediction of gas concentration based on interpolation trapezoidal fuzzy information granulatio
For problems that high-level information granules constructed by existing fuzzy information granulation method cannot completely contain information in low-level data, and range of prediction time is limited, an interpolation trapezoidal fuzzy information granulation method was proposed to predict g...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2014-12-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.12.009 |
| _version_ | 1797868733328261120 |
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| author | WU Zhaofa WU Xiang QIAN Jiansheng |
| author_facet | WU Zhaofa WU Xiang QIAN Jiansheng |
| author_sort | WU Zhaofa |
| collection | DOAJ |
| description | For problems that high-level information granules constructed by existing fuzzy information granulation method cannot completely contain information in low-level data, and range of prediction time is limited, an interpolation trapezoidal fuzzy information granulation method was proposed to predict gas concentration trend. Original gas concentration time series is discretized to form sub-series, the maximum and minimum value of each sub-series window are calculated to form trapezoid-top boundary, each sub-series window data is calculated by interpolation to form a new gas concentration time series window, then trapezoid-bottom boundary is calculated by use of data traversing optimization to the new gas concentration time series window, so as to form gas concentration granulation interval sequence. In view of problem that existing evaluation method cannot evaluate effect of information granulation accurately, a granulation evaluation method based on weight value was proposed, which evaluate effect of granulation through the weighted root mean square error. The experimental results shows that granulation effect of the proposed method is better than the existing fuzzy information granulation method, and the granulation effect does not decrease accompany with increase of granulation window, which has high stability and robustness. |
| first_indexed | 2024-04-10T00:01:38Z |
| format | Article |
| id | doaj.art-ce930c08af4840aeb71a2c4653cae7b8 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:01:38Z |
| publishDate | 2014-12-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-ce930c08af4840aeb71a2c4653cae7b82023-03-17T01:50:33ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2014-12-014012313610.13272/j.issn.1671-251x.2014.12.009Trend prediction of gas concentration based on interpolation trapezoidal fuzzy information granulatioWU ZhaofaWU Xiang0QIAN Jiansheng1School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaFor problems that high-level information granules constructed by existing fuzzy information granulation method cannot completely contain information in low-level data, and range of prediction time is limited, an interpolation trapezoidal fuzzy information granulation method was proposed to predict gas concentration trend. Original gas concentration time series is discretized to form sub-series, the maximum and minimum value of each sub-series window are calculated to form trapezoid-top boundary, each sub-series window data is calculated by interpolation to form a new gas concentration time series window, then trapezoid-bottom boundary is calculated by use of data traversing optimization to the new gas concentration time series window, so as to form gas concentration granulation interval sequence. In view of problem that existing evaluation method cannot evaluate effect of information granulation accurately, a granulation evaluation method based on weight value was proposed, which evaluate effect of granulation through the weighted root mean square error. The experimental results shows that granulation effect of the proposed method is better than the existing fuzzy information granulation method, and the granulation effect does not decrease accompany with increase of granulation window, which has high stability and robustness.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.12.009trend prediction of gas concentrationinterpolation trapezoidal fuzzy information granulationtime seriesgranulation evaluationweighting |
| spellingShingle | WU Zhaofa WU Xiang QIAN Jiansheng Trend prediction of gas concentration based on interpolation trapezoidal fuzzy information granulatio Gong-kuang zidonghua trend prediction of gas concentration interpolation trapezoidal fuzzy information granulation time series granulation evaluation weighting |
| title | Trend prediction of gas concentration based on interpolation trapezoidal fuzzy information granulatio |
| title_full | Trend prediction of gas concentration based on interpolation trapezoidal fuzzy information granulatio |
| title_fullStr | Trend prediction of gas concentration based on interpolation trapezoidal fuzzy information granulatio |
| title_full_unstemmed | Trend prediction of gas concentration based on interpolation trapezoidal fuzzy information granulatio |
| title_short | Trend prediction of gas concentration based on interpolation trapezoidal fuzzy information granulatio |
| title_sort | trend prediction of gas concentration based on interpolation trapezoidal fuzzy information granulatio |
| topic | trend prediction of gas concentration interpolation trapezoidal fuzzy information granulation time series granulation evaluation weighting |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2014.12.009 |
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