Temporal evidence fusion evaluation method considering time sequence variation trend
Abstract Aiming at the temporal information fusion evaluation problem, a temporal evidence fusion evaluation method was proposed by considering the time sequence trend based on evidence theory to fully reflect the dynamic trend of temporal information and the influence of the time factor on fusion e...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-10687-7 |
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| _version_ | 1849763910642565120 |
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| author | Sunan Zhang Yanxin Gao Yuanchao Kou Qichao Guo |
| author_facet | Sunan Zhang Yanxin Gao Yuanchao Kou Qichao Guo |
| author_sort | Sunan Zhang |
| collection | DOAJ |
| description | Abstract Aiming at the temporal information fusion evaluation problem, a temporal evidence fusion evaluation method was proposed by considering the time sequence trend based on evidence theory to fully reflect the dynamic trend of temporal information and the influence of the time factor on fusion evaluation. Firstly, the trend of temporal evidence sequence was integrated into fusion evaluation. The temporal variation factor of the proposition was defined by analyzing the sequence of changes in evidence to measure the dynamic of the proposition. Then, conflict information between evidence was interpreted as the temporal variation information of propositions. An evidence combination rule integrating temporal variation factors of propositions was proposed in this paper. Finally, the proposed method was used to fuse and evaluate the temporal evidence. The consecutive periodic health assessment data were utilized to validate the fusion results. Numerical examples show that the discrepancy between the combined BPAs obtained using the proposed method is significantly larger, while the associated uncertainty is notably reduced. The proposed method is capable of handling conflicting information within a temporal information sequence and obtaining a reasonable fusion evaluation result by combining the temporal variation trend of propositions. It provides an idea for information fusion evaluation considering the time sequence trend. |
| format | Article |
| id | doaj-art-b1b0ea6da26a41268846acba00d6a0bc |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-b1b0ea6da26a41268846acba00d6a0bc2025-08-20T03:05:17ZengNature PortfolioScientific Reports2045-23222025-07-011511910.1038/s41598-025-10687-7Temporal evidence fusion evaluation method considering time sequence variation trendSunan Zhang0Yanxin Gao1Yuanchao Kou2Qichao Guo3Engineering Training Center, Taiyuan Institute of TechnologyStrengthening Foundation Institute, Shanxi Institute of EnergyEngineering Training Center, Taiyuan Institute of TechnologyEngineering Training Center, Taiyuan Institute of TechnologyAbstract Aiming at the temporal information fusion evaluation problem, a temporal evidence fusion evaluation method was proposed by considering the time sequence trend based on evidence theory to fully reflect the dynamic trend of temporal information and the influence of the time factor on fusion evaluation. Firstly, the trend of temporal evidence sequence was integrated into fusion evaluation. The temporal variation factor of the proposition was defined by analyzing the sequence of changes in evidence to measure the dynamic of the proposition. Then, conflict information between evidence was interpreted as the temporal variation information of propositions. An evidence combination rule integrating temporal variation factors of propositions was proposed in this paper. Finally, the proposed method was used to fuse and evaluate the temporal evidence. The consecutive periodic health assessment data were utilized to validate the fusion results. Numerical examples show that the discrepancy between the combined BPAs obtained using the proposed method is significantly larger, while the associated uncertainty is notably reduced. The proposed method is capable of handling conflicting information within a temporal information sequence and obtaining a reasonable fusion evaluation result by combining the temporal variation trend of propositions. It provides an idea for information fusion evaluation considering the time sequence trend.https://doi.org/10.1038/s41598-025-10687-7Evidence theoryTime sequence trendTemporal variation factorEvidence combination ruleFusion evaluation |
| spellingShingle | Sunan Zhang Yanxin Gao Yuanchao Kou Qichao Guo Temporal evidence fusion evaluation method considering time sequence variation trend Scientific Reports Evidence theory Time sequence trend Temporal variation factor Evidence combination rule Fusion evaluation |
| title | Temporal evidence fusion evaluation method considering time sequence variation trend |
| title_full | Temporal evidence fusion evaluation method considering time sequence variation trend |
| title_fullStr | Temporal evidence fusion evaluation method considering time sequence variation trend |
| title_full_unstemmed | Temporal evidence fusion evaluation method considering time sequence variation trend |
| title_short | Temporal evidence fusion evaluation method considering time sequence variation trend |
| title_sort | temporal evidence fusion evaluation method considering time sequence variation trend |
| topic | Evidence theory Time sequence trend Temporal variation factor Evidence combination rule Fusion evaluation |
| url | https://doi.org/10.1038/s41598-025-10687-7 |
| work_keys_str_mv | AT sunanzhang temporalevidencefusionevaluationmethodconsideringtimesequencevariationtrend AT yanxingao temporalevidencefusionevaluationmethodconsideringtimesequencevariationtrend AT yuanchaokou temporalevidencefusionevaluationmethodconsideringtimesequencevariationtrend AT qichaoguo temporalevidencefusionevaluationmethodconsideringtimesequencevariationtrend |