{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T19:45:01Z","timestamp":1766087101118,"version":"3.37.3"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2016,12,1]],"date-time":"2016-12-01T00:00:00Z","timestamp":1480550400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Fuzzy Syst."],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/tfuzz.2016.2540068","type":"journal-article","created":{"date-parts":[[2016,3,10]],"date-time":"2016-03-10T19:30:08Z","timestamp":1457638208000},"page":"1555-1564","source":"Crossref","is-referenced-by-count":39,"title":["Dissimilarity Metric Learning in the Belief Function Framework"],"prefix":"10.1109","volume":"24","author":[{"given":"Chunfeng","family":"Lian","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8785-6917","authenticated-orcid":false,"given":"Su","family":"Ruan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thierry","family":"Denoux","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015376"},{"key":"ref38","first-page":"513","article-title":"Neighbourhood components analysis","author":"goldberger","year":"0","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref33","first-page":"505","article-title":"Distance metric learning with application to clustering with side-information","author":"xing","year":"0","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1995.7.1.72"},{"key":"ref31","volume":"2","author":"yang","year":"2006","journal-title":"Distance metric learning A comprehensive survey"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00137-9"},{"key":"ref37","first-page":"2573","article-title":"Non-linear metric learning","author":"kedem","year":"0","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2198075"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273523"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.883723"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2011.2159725"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2008.2005731"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2014.06.014"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2006.877795"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2332037"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.03.005"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.01.019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2008.06.002"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1072","DOI":"10.1016\/j.asoc.2006.10.002","article-title":"Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation","volume":"7","author":"alt?n\u00e7ay","year":"2007","journal-title":"Appl Soft Comput"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2003.817056"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2003.814034"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1137\/120872802"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2013.2293575"},{"key":"ref52","first-page":"1439","article-title":"Use of the zero norm with linear models and kernel methods","volume":"3","author":"weston","year":"2003","journal-title":"J Mach Learning Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2013.02.008"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2002.806496"},{"key":"ref40","first-page":"207","article-title":"Distance metric learning for large margin nearest neighbor classification","volume":"10","author":"weinberger","year":"2009","journal-title":"J Mach Learning Res"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.08.014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2012.04.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/21.376493"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/5326.669565"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/3468.833094"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0888-613X(01)00045-7"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.10.001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.01.011"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1515\/9780691214696","volume":"1","author":"shafer","year":"1976","journal-title":"A Mathematical Theory of Evidence"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1976.5408784"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.1988.tb00279.x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0255(87)90007-7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.201"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(94)90026-4"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2169075"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2013.2259496"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9236(99)00084-6"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/34.55104"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2007.05.008"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2011.06.002"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2212721"},{"key":"ref41","first-page":"41","article-title":"Multi-task feature learning","author":"evgeniou","year":"0","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9569-8_10"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1109\/TNNLS.2014.2314123","article-title":"Semisupervised feature selection via spline regression for video semantic recognition","volume":"26","author":"han","year":"2015","journal-title":"IEEE Trans Neural Netw Learning Syst"}],"container-title":["IEEE Transactions on Fuzzy Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/91\/7797168\/07430319.pdf?arnumber=7430319","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T22:39:54Z","timestamp":1655246394000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7430319\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":53,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tfuzz.2016.2540068","relation":{},"ISSN":["1063-6706","1941-0034"],"issn-type":[{"type":"print","value":"1063-6706"},{"type":"electronic","value":"1941-0034"}],"subject":[],"published":{"date-parts":[[2016,12]]}}}