{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T18:10:29Z","timestamp":1726251029202},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12071131","12201213","62076088"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2022MS052","2023JC007"],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1016\/j.asoc.2023.110950","type":"journal-article","created":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T01:14:34Z","timestamp":1697505274000},"page":"110950","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"PA","title":["Exploiting local label correlation from sample perspective for multi-label classification via three-way decision theory"],"prefix":"10.1016","volume":"149","author":[{"given":"Xiaoya","family":"Che","sequence":"first","affiliation":[]},{"given":"Degang","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1488-3855","authenticated-orcid":false,"given":"Jiang","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Jusheng","family":"Mi","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"7","key":"10.1016\/j.asoc.2023.110950_b1","doi-asserted-by":"crossref","first-page":"2038","DOI":"10.1016\/j.patcog.2006.12.019","article-title":"ML-KNN: A lazy learning approach to multi-label learning","volume":"40","author":"Zhang","year":"2007","journal-title":"Pattern Recognit."},{"issue":"8","key":"10.1016\/j.asoc.2023.110950_b2","doi-asserted-by":"crossref","first-page":"1819","DOI":"10.1109\/TKDE.2013.39","article-title":"A review on multi-label learning algorithms","volume":"26","author":"Zhang","year":"2014","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"10","key":"10.1016\/j.asoc.2023.110950_b3","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1109\/TKDE.2006.162","article-title":"Multilabel neural networks with applications to functional genomics and text categorization","volume":"18","author":"Zhang","year":"2006","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"10.1016\/j.asoc.2023.110950_b4","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1109\/TIP.2014.2298978","article-title":"Multilabel image categorization with sparse factor representation","volume":"23","author":"Sun","year":"2014","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"10.1016\/j.asoc.2023.110950_b5","doi-asserted-by":"crossref","first-page":"1757","DOI":"10.1016\/j.patcog.2004.03.009","article-title":"Learning multi-label scene classification","volume":"37","author":"Boutell","year":"2004","journal-title":"Pattern Recognit."},{"issue":"7","key":"10.1016\/j.asoc.2023.110950_b6","doi-asserted-by":"crossref","first-page":"830","DOI":"10.1093\/bioinformatics\/btk048","article-title":"Hierarchical multi-label prediction of gene function","volume":"22","author":"Barutcuoglu","year":"2006","journal-title":"Bioinformatics"},{"issue":"2","key":"10.1016\/j.asoc.2023.110950_b7","first-page":"1471","article-title":"Predicting gene function using hierarchical multi-label decision tree ensembles","volume":"11","author":"Schietgat","year":"2010","journal-title":"BMC Bioinformatics"},{"issue":"10","key":"10.1016\/j.asoc.2023.110950_b8","doi-asserted-by":"crossref","first-page":"1936","DOI":"10.1109\/TPAMI.2014.2307881","article-title":"Active learning by querying informative and representative examples","volume":"36","author":"Huang","year":"2014","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"10.1016\/j.asoc.2023.110950_b9","first-page":"5199","article-title":"Multi-label classification with label-specific feature generation: A wrapped approach","volume":"44","author":"Yu","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"10.1016\/j.asoc.2023.110950_b10","doi-asserted-by":"crossref","first-page":"3309","DOI":"10.1109\/TKDE.2016.2608339","article-title":"Learning label-specific features and class-dependent labels for multi-label classification","volume":"28","author":"Huang","year":"2016","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.asoc.2023.110950_b11","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.neucom.2019.09.009","article-title":"Global and local multi-view multi-label learning","volume":"371","author":"Zhu","year":"2020","journal-title":"Neurocomputing"},{"key":"10.1016\/j.asoc.2023.110950_b12","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.ins.2020.12.010","article-title":"Bayesian network based label correlation analysis for multi-label classifier chain","volume":"554","author":"Wang","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.asoc.2023.110950_b13","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1109\/TMM.2021.3119868","article-title":"Deep co-image-label hashing for multi-label image retrieval","volume":"24","author":"Shen","year":"2022","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.asoc.2023.110950_b14","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.ins.2019.04.021","article-title":"Improving multi-label classification with missing labels by learning label-specific features","volume":"492","author":"Huang","year":"2019","journal-title":"Inform. Sci."},{"key":"10.1016\/j.asoc.2023.110950_b15","doi-asserted-by":"crossref","first-page":"1696","DOI":"10.1109\/TMM.2020.3002185","article-title":"Joint input and output space learning for multi-label image classification","volume":"23","author":"Xu","year":"2021","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.asoc.2023.110950_b16","doi-asserted-by":"crossref","unstructured":"S.J. Huang, Z.H. Zhou, Multi-label learning by exploiting label correlations locally, in: Proceedings of the 26th AAAI Conference on Artificial Intelligence, Toronto, Canada, 2012, pp. 949\u2013955.","DOI":"10.1609\/aaai.v26i1.8287"},{"key":"10.1016\/j.asoc.2023.110950_b17","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.neucom.2016.12.073","article-title":"Multi-label classification by exploiting local positive and negative pairwise label correlation","volume":"257","author":"Huang","year":"2017","journal-title":"Neurocomputing"},{"issue":"4","key":"10.1016\/j.asoc.2023.110950_b18","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1109\/TKDE.2019.2943337","article-title":"Label distribution learning with label correlations on local samples","volume":"33","author":"Jia","year":"2021","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.asoc.2023.110950_b19","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.ins.2009.09.021","article-title":"Three-way decisions with probabilistic rough sets","volume":"180","author":"Yao","year":"2010","journal-title":"Inform. Sci."},{"issue":"1","key":"10.1016\/j.asoc.2023.110950_b20","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1109\/TFUZZ.2020.3033448","article-title":"A regret-based three-way decision model under interval type-2 fuzzy environment","volume":"30","author":"Wang","year":"2022","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.asoc.2023.110950_b21","doi-asserted-by":"crossref","unstructured":"J. Deng, J.M. Zhan, Z.S. Xu, E. Herrera-Viedma, Regret-theoretic multiattribute decision-making model using three-way framework in multi-scale information systems, IEEE Trans. Cybern. http:\/\/dx.doi.org\/10.1109\/TCYB.2022.3173374.","DOI":"10.1109\/TCYB.2022.3173374"},{"key":"10.1016\/j.asoc.2023.110950_b22","doi-asserted-by":"crossref","unstructured":"J.M. Zhan, J.J. Wang, W.P. Ding, et al., Three-way behavioral decision making with hesitant fuzzy information systems: Survey and challenges, IEEE\/CAA J. Autom. Sin. http:\/\/dx.doi.org\/10.1109\/JAS.2022.106061.","DOI":"10.1109\/JAS.2022.106061"},{"key":"10.1016\/j.asoc.2023.110950_b23","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.ins.2022.10.012","article-title":"Three-way reduction for formal decision contexts","volume":"615","author":"Liu","year":"2022","journal-title":"Inform. Sci."},{"key":"10.1016\/j.asoc.2023.110950_b24","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.ijar.2022.09.007","article-title":"Parameterized maximum-entropy-based three-way approximate attribute reduction","volume":"151","author":"Gao","year":"2023","journal-title":"Internat. J. Approx. Reason."},{"key":"10.1016\/j.asoc.2023.110950_b25","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.ijar.2022.08.008","article-title":"Selective label enhancement for multi-label classification based on three-way decisions","volume":"150","author":"Zhao","year":"2022","journal-title":"Internat. J. Approx. Reason."},{"key":"10.1016\/j.asoc.2023.110950_b26","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.ijar.2022.08.009","article-title":"Label distribution learning with noisy labels via three-way decisions","volume":"150","author":"Li","year":"2022","journal-title":"Internat. J. Approx. Reason."},{"key":"10.1016\/j.asoc.2023.110950_b27","doi-asserted-by":"crossref","unstructured":"J.B. Liu, B. Huang, H.X. Li, et al., Optimization-based three-way decisions with interval-valued intuitionistic fuzzy information, IEEE Trans. Cybern. http:\/\/dx.doi.org\/10.1109\/TCYB.2022.3151899.","DOI":"10.1109\/TCYB.2022.3151899"},{"key":"10.1016\/j.asoc.2023.110950_b28","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.ijar.2022.10.011","article-title":"A bipolar three-way decision model and its application in analyzing incomplete data","volume":"152","author":"Luo","year":"2023","journal-title":"Internat. J. Approx. Reason."},{"key":"10.1016\/j.asoc.2023.110950_b29","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110144","article-title":"Three-way decisions with fuzzy probabilistic covering-based rough sets and their applications in credit evaluation","volume":"136","author":"Li","year":"2023","journal-title":"Appl. Soft Comput."},{"issue":"4","key":"10.1016\/j.asoc.2023.110950_b30","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1016\/j.ins.2020.09.049","article-title":"Ground truthing from multi-rater labeling with three-way decision and possibility theory","volume":"545","author":"Campagner","year":"2021","journal-title":"Inform. Sci."},{"issue":"2\u20133","key":"10.1016\/j.asoc.2023.110950_b31","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1023\/A:1007649029923","article-title":"BoosTexter: A boosting-based system for text categorization","volume":"39","author":"Schapire","year":"2000","journal-title":"Mach. Learn."},{"issue":"5","key":"10.1016\/j.asoc.2023.110950_b32","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/BF01001956","article-title":"Rough sets","volume":"11","author":"Pawlak","year":"1982","journal-title":"Int. J. Comput. Inf. Sci."},{"issue":"11","key":"10.1016\/j.asoc.2023.110950_b33","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1109\/TKDE.2010.260","article-title":"Kernelized fuzzy rough sets and their applications","volume":"23","author":"Hu","year":"2011","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"23","key":"10.1016\/j.asoc.2023.110950_b34","doi-asserted-by":"crossref","first-page":"5169","DOI":"10.1016\/j.ins.2011.07.025","article-title":"Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets","volume":"181","author":"Chen","year":"2011","journal-title":"Inform. Sci."},{"key":"10.1016\/j.asoc.2023.110950_b35","first-page":"2211","article-title":"Multiple kernel learning algorithms","volume":"12","author":"G\u00f6nen","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.asoc.2023.110950_b36","first-page":"205","article-title":"On kernel target alignment","volume":"194","author":"Cristianini","year":"2006","journal-title":"Innov. Mach. Learn."},{"key":"10.1016\/j.asoc.2023.110950_b37","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"key":"10.1016\/j.asoc.2023.110950_b38","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1080\/03081079008935107","article-title":"Rough fuzzy sets and fuzzy roug sets","volume":"17","author":"Dubois","year":"1990","journal-title":"Int. J. Gen. Syst."},{"key":"10.1016\/j.asoc.2023.110950_b39","series-title":"Intelligent Decision Support, Handbook of Applications and Advances of the Rough Sets Theory","first-page":"203","article-title":"Putting rough sets and fuzzy sets together","author":"Dubois","year":"1992"},{"key":"10.1016\/j.asoc.2023.110950_b40","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.1007\/s13042-020-01268-3","article-title":"Feature distribution-based label correlation in multi-label classification","volume":"12","author":"Che","year":"2021","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"10.1016\/j.asoc.2023.110950_b41","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.ins.2021.03.058","article-title":"A three-way decision methodology to multi-attribute decision-making in multi-scale decision information systems","volume":"568","author":"Deng","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.asoc.2023.110950_b42","first-page":"543","article-title":"A method for solving the convex programming problem with convergence rate O(1\/k2)","volume":"269","author":"Nesterov","year":"1983","journal-title":"Dokl. Akad. Nauk SSSR"},{"issue":"1","key":"10.1016\/j.asoc.2023.110950_b43","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1137\/080716542","article-title":"A fast iterative shrinkage-thresholding algorithm for linear inverse problems","volume":"2","author":"Beck","year":"2009","journal-title":"SIAM J. Imaging Sci.nce"},{"key":"10.1016\/j.asoc.2023.110950_b44","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.neucom.2018.08.065","article-title":"Feature selection for multi-label learning based on kernelized fuzzy rough sets","volume":"318","author":"Li","year":"2018","journal-title":"Neurocomputing"},{"issue":"3","key":"10.1016\/j.asoc.2023.110950_b45","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1109\/TCYB.2017.2663838","article-title":"Joint feature selection and classification for multilabel learning","volume":"48","author":"Huang","year":"2018","journal-title":"IEEE Trans. Cybern."},{"issue":"1\u201315","key":"10.1016\/j.asoc.2023.110950_b46","article-title":"Learning common and label-specific features for multi-label classification with correlation information","volume":"21","author":"Li","year":"2000","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.asoc.2023.110950_b47","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1214\/aoms\/1177731944","article-title":"A comparison of alternative tests of significance for the problem of m ranking","volume":"11","author":"Friedman","year":"1940","journal-title":"Ann. Math. Stat."},{"key":"10.1016\/j.asoc.2023.110950_b48","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1080\/01621459.1961.10482090","article-title":"Multiple comparisons among means","volume":"56","author":"Dunn","year":"1961","journal-title":"J. Amer. Statist. Assoc."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494623009687?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494623009687?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T08:49:56Z","timestamp":1700470196000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494623009687"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":48,"alternative-id":["S1568494623009687"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2023.110950","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2023,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Exploiting local label correlation from sample perspective for multi-label classification via three-way decision theory","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2023.110950","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"110950"}}