{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T11:12:30Z","timestamp":1774955550612,"version":"3.50.1"},"reference-count":62,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,2,16]],"date-time":"2021-02-16T00:00:00Z","timestamp":1613433600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1911205 and 62073300"],"award-info":[{"award-number":["U1911205 and 62073300"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan)","award":["CUGGC03"],"award-info":[{"award-number":["CUGGC03"]}]},{"name":"the Fundamental Research Funds for the Central Universities, JLU","award":["93K172020K18"],"award-info":[{"award-number":["93K172020K18"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>As one of the common methods to construct classifiers, na\u00efve Bayes has become one of the most popular classification methods because of its solid theoretical basis, strong prior knowledge learning characteristics, unique knowledge expression forms, and high classification accuracy. This classification method has a symmetry phenomenon in the process of data classification. Although the na\u00efve Bayes classifier has high classification performance in single-label classification problems, it is worth studying whether the multilabel classification problem is still valid. In this paper, with the na\u00efve Bayes classifier as the basic research object, in view of the na\u00efve Bayes classification algorithm\u2019s shortage of conditional independence assumptions and label class selection strategies, the characteristics of weighted na\u00efve Bayes is given a better label classifier algorithm framework; the introduction of cultural algorithms to search for and determine the optimal weights is proposed as the weighted na\u00efve Bayes multilabel classification algorithm. Experimental results show that the algorithm proposed in this paper is superior to other algorithms in classification performance.<\/jats:p>","DOI":"10.3390\/sym13020322","type":"journal-article","created":{"date-parts":[[2021,2,16]],"date-time":"2021-02-16T04:23:10Z","timestamp":1613449390000},"page":"322","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Evolutionary Multilabel Classification Algorithm Based on Cultural Algorithm"],"prefix":"10.3390","volume":"13","author":[{"given":"Qinghua","family":"Wu","sequence":"first","affiliation":[{"name":"Faculty of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430205, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Nanjing Tech University, Najing 211816, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengyu","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuesong","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences, Wuhan 430074, China"},{"name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Tsoumakas, G., Katakis, I., and Vlahavas, I. 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