Dynamic Updating the Three-Way Regions for the Optimal Rules
Knowledge acquisition is an important research hotspot in the field artificial intelligence. Most of the research methods mainly mine all decision rules from the static data. However, they face two aspects: 1) Some old possible rules with lower confidences may be useless; 2) Some optimal rules from...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11037751/ |
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| author | Xiaohua Wei Jiangang Ye Jin Qian Qiaowen Deng |
| author_facet | Xiaohua Wei Jiangang Ye Jin Qian Qiaowen Deng |
| author_sort | Xiaohua Wei |
| collection | DOAJ |
| description | Knowledge acquisition is an important research hotspot in the field artificial intelligence. Most of the research methods mainly mine all decision rules from the static data. However, they face two aspects: 1) Some old possible rules with lower confidences may be useless; 2) Some optimal rules from the new data are unable to be effectively obtained. How to acquire the optimal rules from dynamic data while ensuring efficiency becomes an important challenge. To this end, a dynamic updating mechanism for the optimal rules using three-way decisions is designed. More specifically, the incremental updating strategies for three-way regions are proposed and illustrated when multiple objects are dynamically changed from the decision table. Secondly, the two corresponding incremental learning algorithms are implemented for the dynamic objects using three-way decisions. Finally, a series of experiments on eight data sets are validated our models. Experiment results demonstrate that our proposed incremental updating algorithms for the optimal rules can significantly accelerate the knowledge updating. |
| format | Article |
| id | doaj-art-4dc7cbf9f665433aaab271fe324e6e55 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4dc7cbf9f665433aaab271fe324e6e552025-08-20T03:23:57ZengIEEEIEEE Access2169-35362025-01-011310601910603410.1109/ACCESS.2025.358058911037751Dynamic Updating the Three-Way Regions for the Optimal RulesXiaohua Wei0Jiangang Ye1Jin Qian2https://orcid.org/0000-0001-5617-696XQiaowen Deng3https://orcid.org/0009-0003-3868-5172School of Mechanical and Electrical Engineering, Quzhou College of Technology, Quzhou, Zhejiang, ChinaQuzhou Special Equipment Inspection & Testing Research Institute, Quzhou, Zhejiang, ChinaSchool of Information and Software, East China Jiaotong University, Nanchang, Jiangxi, ChinaSchool of Information and Software, East China Jiaotong University, Nanchang, Jiangxi, ChinaKnowledge acquisition is an important research hotspot in the field artificial intelligence. Most of the research methods mainly mine all decision rules from the static data. However, they face two aspects: 1) Some old possible rules with lower confidences may be useless; 2) Some optimal rules from the new data are unable to be effectively obtained. How to acquire the optimal rules from dynamic data while ensuring efficiency becomes an important challenge. To this end, a dynamic updating mechanism for the optimal rules using three-way decisions is designed. More specifically, the incremental updating strategies for three-way regions are proposed and illustrated when multiple objects are dynamically changed from the decision table. Secondly, the two corresponding incremental learning algorithms are implemented for the dynamic objects using three-way decisions. Finally, a series of experiments on eight data sets are validated our models. Experiment results demonstrate that our proposed incremental updating algorithms for the optimal rules can significantly accelerate the knowledge updating.https://ieeexplore.ieee.org/document/11037751/Incremental learningdynamic objectsprobabilistic approximationsoptimal rulesthree-way decisions |
| spellingShingle | Xiaohua Wei Jiangang Ye Jin Qian Qiaowen Deng Dynamic Updating the Three-Way Regions for the Optimal Rules IEEE Access Incremental learning dynamic objects probabilistic approximations optimal rules three-way decisions |
| title | Dynamic Updating the Three-Way Regions for the Optimal Rules |
| title_full | Dynamic Updating the Three-Way Regions for the Optimal Rules |
| title_fullStr | Dynamic Updating the Three-Way Regions for the Optimal Rules |
| title_full_unstemmed | Dynamic Updating the Three-Way Regions for the Optimal Rules |
| title_short | Dynamic Updating the Three-Way Regions for the Optimal Rules |
| title_sort | dynamic updating the three way regions for the optimal rules |
| topic | Incremental learning dynamic objects probabilistic approximations optimal rules three-way decisions |
| url | https://ieeexplore.ieee.org/document/11037751/ |
| work_keys_str_mv | AT xiaohuawei dynamicupdatingthethreewayregionsfortheoptimalrules AT jiangangye dynamicupdatingthethreewayregionsfortheoptimalrules AT jinqian dynamicupdatingthethreewayregionsfortheoptimalrules AT qiaowendeng dynamicupdatingthethreewayregionsfortheoptimalrules |