{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T13:35:21Z","timestamp":1751376921366,"version":"3.37.3"},"reference-count":27,"publisher":"Wiley","license":[{"start":{"date-parts":[[2023,3,29]],"date-time":"2023-03-29T00:00:00Z","timestamp":1680048000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"],"award-info":[{"award-number":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Teaching Reform Project of Higher Education in Heilongjiang Province","award":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"],"award-info":[{"award-number":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"]}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"publisher","award":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"],"award-info":[{"award-number":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014418","name":"Harbin Medical University Cancer Hospital","doi-asserted-by":"publisher","award":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"],"award-info":[{"award-number":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"]}],"id":[{"id":"10.13039\/100014418","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013772","name":"Harbin Normal University","doi-asserted-by":"publisher","award":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"],"award-info":[{"award-number":["2020M683736","SJGY20210456","LH2021F038","JJMS2021-28","HSDSSCX2022-17","HSDSSCX2022-18","HSDSSCX2022-19"]}],"id":[{"id":"10.13039\/501100013772","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Electrical and Computer Engineering"],"published-print":{"date-parts":[[2023,3,29]]},"abstract":"<jats:p>Ensemble learning, as a kind of method to improve the generalization ability of classifiers, is often used to improve the model effect in the field of deep learning. However, the present ensemble learning methods mostly adopt voting fusion in combining strategies. This strategy has difficulty mining effective information from the classifiers and cannot effectively reflect the relationship between different classifiers. Ensemble learning based on the evidential inference rule (ER rule) can effectively excavate the internal relationships among different classifiers and has a certain interpretability. However, the ER rule depends on the weight distribution of different combination strategies, and the setting of the evidence weight will affect the accuracy and stability of the model. Therefore, this paper proposes a new ensemble learning method based on multiple fusion weighted evidential reasoning rules and constructs an ensemble learning framework for data fusion and decision mapping. This framework takes the evidence weight, confidence, and feature data of each classifier as input and the integration results as output. The weight of evidence was determined by multiple fusion weights of the entropy weight method and order relation method. Finally, the integrated learning process is set up by the ER algorithm. The method proposed in this paper is verified by multiple datasets. Experimental results show that the surface construction model has good performance, and the defects of single weighting instability are greatly improved under the premise of improving the integration effect.<\/jats:p>","DOI":"10.1155\/2023\/8987461","type":"journal-article","created":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T00:50:13Z","timestamp":1680137413000},"page":"1-15","source":"Crossref","is-referenced-by-count":4,"title":["A New Ensemble Learning Method for Multiple Fusion Weighted Evidential Reasoning Rule"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5841-1442","authenticated-orcid":true,"given":"YiZhe","family":"Zhang","sequence":"first","affiliation":[{"name":"Harbin Normal University, Harbin 150025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YunYi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Normal University, Harbin 150025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"GuoHui","family":"Zhou","sequence":"additional","affiliation":[{"name":"Harbin Normal University, Harbin 150025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6931-5006","authenticated-orcid":true,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Normal University, Harbin 150025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"KangLe","family":"Li","sequence":"additional","affiliation":[{"name":"Harbin Finance University, Harbin 150030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7774-5866","authenticated-orcid":true,"given":"QuanQi","family":"Mu","sequence":"additional","affiliation":[{"name":"Harbin Normal University, Harbin 150025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4523-8242","authenticated-orcid":true,"given":"Wei","family":"He","sequence":"additional","affiliation":[{"name":"Harbin Normal University, Harbin 150025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Tang","sequence":"additional","affiliation":[{"name":"Harbin Normal University, Harbin 150025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3105595"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2019.06.026"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2018.01.001"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.anucene.2017.10.026"},{"key":"5","first-page":"1","article-title":"Improved fuzzy bayesian network-based risk analysis with interval-valued fuzzy sets and D-S evidence theory","volume":"18","author":"Y. Pan","year":"2019","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/tpwrs.2019.2922734"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/bf00058655"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.12.048"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.02.073"},{"issue":"3","key":"10","first-page":"1","article-title":"Combining bootstrapping samples, random subspaces and random forests to build classifiers","volume":"5","author":"M. E. H. Daho","year":"2015","journal-title":"Journal of Medical Imaging and Health Informatics"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2013.09.003"},{"issue":"11","key":"12","first-page":"1950","article-title":"Online assessment method of dynamic system security based on evidence reasoning","volume":"43","author":"F. J. Zhao","year":"2017","journal-title":"Acta Automatica Sinica"},{"issue":"5","key":"13","first-page":"970","article-title":"Evidential reasoning theory and its applications","volume":"47","author":"Z.-J. Zhou","year":"2021","journal-title":"Acta Automatica Sinica"},{"issue":"12","key":"14","first-page":"2628","article-title":"A fault detection method based on data reliability and interval evidence reasoning","volume":"46","author":"Z. J. Zhou","year":"2020","journal-title":"Acta Automatica Sinica"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/91.660804"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2019.2944640"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.12.026"},{"key":"18","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-88601-1_15","article-title":"Ensemble learning based on evidential reasoning rule with a new weight calculation method","volume-title":"Belief Functions: Theory and Applications","author":"C. Xu","year":"2021"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1111\/insr.12097"},{"key":"20","article-title":"Multi-signal fusion diagnosis of gearbox based on minimum Bayesian risk reclassification and adaptive weighting","volume":"187","author":"L. Tao","year":"2022","journal-title":"Measurement"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1109\/UBMK.2019.8907028"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.01.043"},{"author":"C. Lu","key":"23","article-title":"Application of combination weighting method to weight calculation in performance evaluation of ICT"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3058264"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/1156748"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/jsen.2020.3045973"},{"article-title":"Meta-reasoning about decisions in autonomous semi-intelligent systems","author":"M. Danielson","key":"27","doi-asserted-by":"crossref","DOI":"10.1145\/3396474.3396476"}],"container-title":["Journal of Electrical and Computer Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jece\/2023\/8987461.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jece\/2023\/8987461.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jece\/2023\/8987461.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T00:50:25Z","timestamp":1680137425000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/jece\/2023\/8987461\/"}},"subtitle":[],"editor":[{"given":"Suman Lata","family":"Tripathi","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2023,3,29]]},"references-count":27,"alternative-id":["8987461","8987461"],"URL":"https:\/\/doi.org\/10.1155\/2023\/8987461","relation":{},"ISSN":["2090-0155","2090-0147"],"issn-type":[{"type":"electronic","value":"2090-0155"},{"type":"print","value":"2090-0147"}],"subject":[],"published":{"date-parts":[[2023,3,29]]}}}