Estimation of the Student Employment in the Aviation Industry Based on Novel Fractional Error Accumulation Grey Model
To improve the employment forecasting accuracy of traditional grey models, the grey model with the fractional error accumulation is proposed. The estimation error is accumulated. The proposed model can make use of the initial value x1 and can give more attention to the error of new data. The monoton...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/7738447 |
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| _version_ | 1832553613733396480 |
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| author | Yali Zhang Xiaojiang Yang Wei Cui |
| author_facet | Yali Zhang Xiaojiang Yang Wei Cui |
| author_sort | Yali Zhang |
| collection | DOAJ |
| description | To improve the employment forecasting accuracy of traditional grey models, the grey model with the fractional error accumulation is proposed. The estimation error is accumulated. The proposed model can make use of the initial value x1 and can give more attention to the error of new data. The monotonicity of the simulative value by the proposed model is data-driven and uncertain. The comparison results show that the proposed model can enhance the forecasting accuracy of traditional grey model. It deserves to be applied to employment forecasting. |
| format | Article |
| id | doaj-art-81490d0061b043e691a0a01f304d6f54 |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-81490d0061b043e691a0a01f304d6f542025-02-03T05:53:38ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/7738447Estimation of the Student Employment in the Aviation Industry Based on Novel Fractional Error Accumulation Grey ModelYali Zhang0Xiaojiang Yang1Wei Cui2College of Economics and ManagementCollege of Economics and ManagementSchool of Economics and ManagementTo improve the employment forecasting accuracy of traditional grey models, the grey model with the fractional error accumulation is proposed. The estimation error is accumulated. The proposed model can make use of the initial value x1 and can give more attention to the error of new data. The monotonicity of the simulative value by the proposed model is data-driven and uncertain. The comparison results show that the proposed model can enhance the forecasting accuracy of traditional grey model. It deserves to be applied to employment forecasting.http://dx.doi.org/10.1155/2022/7738447 |
| spellingShingle | Yali Zhang Xiaojiang Yang Wei Cui Estimation of the Student Employment in the Aviation Industry Based on Novel Fractional Error Accumulation Grey Model Journal of Mathematics |
| title | Estimation of the Student Employment in the Aviation Industry Based on Novel Fractional Error Accumulation Grey Model |
| title_full | Estimation of the Student Employment in the Aviation Industry Based on Novel Fractional Error Accumulation Grey Model |
| title_fullStr | Estimation of the Student Employment in the Aviation Industry Based on Novel Fractional Error Accumulation Grey Model |
| title_full_unstemmed | Estimation of the Student Employment in the Aviation Industry Based on Novel Fractional Error Accumulation Grey Model |
| title_short | Estimation of the Student Employment in the Aviation Industry Based on Novel Fractional Error Accumulation Grey Model |
| title_sort | estimation of the student employment in the aviation industry based on novel fractional error accumulation grey model |
| url | http://dx.doi.org/10.1155/2022/7738447 |
| work_keys_str_mv | AT yalizhang estimationofthestudentemploymentintheaviationindustrybasedonnovelfractionalerroraccumulationgreymodel AT xiaojiangyang estimationofthestudentemploymentintheaviationindustrybasedonnovelfractionalerroraccumulationgreymodel AT weicui estimationofthestudentemploymentintheaviationindustrybasedonnovelfractionalerroraccumulationgreymodel |