{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T11:11:30Z","timestamp":1781349090857,"version":"3.54.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T00:00:00Z","timestamp":1590451200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T00:00:00Z","timestamp":1590451200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1007\/s13042-020-01142-2","type":"journal-article","created":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T21:04:25Z","timestamp":1590527065000},"page":"2565-2572","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A novel classification algorithm based on kernelized fuzzy rough sets"],"prefix":"10.1007","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3173-2859","authenticated-orcid":false,"given":"Linlin","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingjiu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,5,26]]},"reference":[{"key":"1142_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-011-3534-4","volume-title":"Rough Sets: Theoretical aspects of reasoning about data","author":"Z Pawlak","year":"1991","unstructured":"Pawlak Z (1991) Rough sets: theoretical aspects of reasoning about data. Kluwer, Dordrecht"},{"issue":"2","key":"1142_CR2","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1007\/s10462-019-09699-3","volume":"53","author":"QZ Kong","year":"2020","unstructured":"Kong QZ, Zhang XW, Xu WH, Xie ST (2020) Attribute reducts of multi-granulation information system. Artif Intell Rev 53(2):1353\u20131371","journal-title":"Artif Intell Rev"},{"key":"1142_CR3","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1016\/j.ins.2016.04.009","volume":"378","author":"WH Xu","year":"2017","unstructured":"Xu WH, Yu JH (2017) A novel approach to information fusion in multi-source datasets: a granular computing viewpoint. Inf Sci 378:410\u2013423","journal-title":"Inf Sci"},{"issue":"2","key":"1142_CR4","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1109\/TCYB.2014.2361772","volume":"46","author":"WH Xu","year":"2016","unstructured":"Xu WH, Li WT (2016) Granular computing approach to two-way learning based on formal concept analysis in fuzzy datasets. IEEE Trans Cybern 46(2):366\u2013379","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"1142_CR5","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.knosys.2016.05.021","volume":"105","author":"WH Xu","year":"2016","unstructured":"Xu WH, Guo YT (2016) Generalized multigranulation double-quantitative decision-theoretic rough set. Knowl-Based Syst 105(1):190\u2013205","journal-title":"Knowl-Based Syst"},{"key":"1142_CR6","volume-title":"Fuzzy rough set theory and method","author":"DG Chen","year":"2013","unstructured":"Chen DG (2013) Fuzzy rough set theory and method. Science Press, Beijing"},{"issue":"2","key":"1142_CR7","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1080\/03081079008935107","volume":"17","author":"D Dubois","year":"1990","unstructured":"Dubois D, Prade H (1990) Rough fuzzy sets and fuzzy rough sets. Int J Gener Syst 17(2):191\u2013209","journal-title":"Int J General Syst"},{"key":"1142_CR8","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/978-94-015-7975-9_14","volume-title":"Intelligent decision support, handbook of applications and advances of the rough sets theory","author":"D Dubois","year":"1992","unstructured":"Dubois D, Prade H (1992) Putting rough sets and fuzzy sets together. In: Slowinski R (ed) Intelligent decision support, handbook of applications and advances of the rough sets theory. Kluwer, Norwell, pp 203\u2013232"},{"issue":"1\u20134","key":"1142_CR9","first-page":"235","volume":"160","author":"JS Mi","year":"2004","unstructured":"Mi JS, Zhang XZ (2004) An axiomatic characterization of a fuzzy generalization of rough sets. Inf Sci 160(1\u20134):235\u2013249","journal-title":"Inf Sci"},{"issue":"1\u20133","key":"1142_CR10","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/S0165-0114(97)00104-8","volume":"100","author":"NN Morsi","year":"1998","unstructured":"Morsi NN, Yakout MM (1998) Axiomatics for fuzzy rough sets. Fuzzy Sets Syst 100(1\u20133):327\u2013342","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"1142_CR11","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/S0165-0114(01)00032-X","volume":"126","author":"AM Radzikowska","year":"2002","unstructured":"Radzikowska AM, Kerre EE (2002) A comparative study of fuzzy rough sets. Fuzzy Sets Syst 126(2):137\u2013155","journal-title":"Fuzzy Sets Syst"},{"issue":"6","key":"1142_CR12","doi-asserted-by":"crossref","first-page":"1699","DOI":"10.1109\/TFUZZ.2013.2291567","volume":"22","author":"R Wang","year":"2014","unstructured":"Wang R, Chen DG, Kwong S (2014) Fuzzy-rough-set-based active learning. IEEE Trans Fuzzy Syst 22(6):1699\u20131704","journal-title":"IEEE Trans. Fuzzy Syst"},{"issue":"3","key":"1142_CR13","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1109\/TFUZZ.2004.841734","volume":"13","author":"DS Yeung","year":"2005","unstructured":"Yeung DS, Chen DG, Tsang ECC, John WTL, Wang XZ (2005) On the generalization of fuzzy rough sets. IEEE Trans Fuzzy Syst 13(3):343\u2013361","journal-title":"IEEE Trans. Fuzzy Syst"},{"issue":"3\u20134","key":"1142_CR14","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.ins.2003.08.005","volume":"159","author":"WZ Wu","year":"2004","unstructured":"Wu WZ, Zhang WX (2004) Constructive and axiomatic approaches of fuzzy approximation operators. Inf Sci 159(3\u20134):233\u2013254","journal-title":"Inf Sci"},{"key":"1142_CR15","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/S0020-0255(02)00379-1","volume":"151","author":"WZ Wu","year":"2003","unstructured":"Wu WZ, Mi JS, Zhang WX (2003) Generalized fuzzy rough sets. Inf Sci 151:263\u2013282","journal-title":"Inf Sci"},{"issue":"13","key":"1142_CR16","doi-asserted-by":"crossref","first-page":"1787","DOI":"10.1016\/j.fss.2006.01.007","volume":"157","author":"B Moser","year":"2006","unstructured":"Moser B (2006) On the T-transitivity of kernels. Fuzzy Sets Syst 157(13):1787\u20131796","journal-title":"Fuzzy Sets Syst"},{"key":"1142_CR17","first-page":"2603","volume":"7","author":"B Moser","year":"2006","unstructured":"Moser B (2006) On representing and generating kernels by fuzzy equivalence relations. J Mach Learn Res 7:2603\u20132620","journal-title":"J Mach Learn Res"},{"issue":"11","key":"1142_CR18","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1109\/TKDE.2010.260","volume":"23","author":"QH Hu","year":"2011","unstructured":"Hu QH, Yu DR, Pedrycz W, Chen DG (2011) Kernelized fuzzy rough sets and their applications. IEEE Trans Knowl Data Eng 23(11):1649\u20131667","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"3","key":"1142_CR19","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/S0165-0114(03)00021-6","volume":"141","author":"R Jensen","year":"2004","unstructured":"Jensen R, Shen Q (2004) Fuzzy-rough attributes reduction with application to web categorization. Fuzzy Sets Syst 141(3):469\u2013485","journal-title":"Fuzzy Sets Syst"},{"issue":"7","key":"1142_CR20","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1016\/j.patrec.2004.09.044","volume":"26","author":"RB Bhatt","year":"2005","unstructured":"Bhatt RB, Gopal M (2005) On fuzzy rough sets approach to feature selection. Pattern Recog Lett 26(7):965\u2013975","journal-title":"Pattern Recog Lett"},{"issue":"13","key":"1142_CR21","doi-asserted-by":"crossref","first-page":"1871","DOI":"10.1016\/j.fss.2009.12.010","volume":"161","author":"DG Chen","year":"2010","unstructured":"Chen DG, Zhao SY (2010) Local reduction of decision system with fuzzy rough sets. Fuzzy Sets Syst 161(13):1871\u20131883","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"1142_CR22","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1109\/TFUZZ.2011.2173695","volume":"20","author":"DG Chen","year":"2012","unstructured":"Chen DG, Zhang L, Zhao SY, Hu QH, Zhu PF (2012) A novel algorithm for finding reducts with fuzzy rough sets. IEEE Trans Fuzzy Syst 20(2):385\u2013389","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"5","key":"1142_CR23","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1109\/TFUZZ.2013.2291570","volume":"22","author":"DG Chen","year":"2014","unstructured":"Chen DG, Yang YY (2014) Attribute reduction for heterogeneous data based on the combination of classical and fuzzy rough set models. IEEE Trans Fuzzy Syst 22(5):1325\u20131334","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"7","key":"1142_CR24","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1109\/TFUZZ.2018.2880933","volume":"27","author":"LL Chen","year":"2019","unstructured":"Chen LL, Chen DG, Wang H (2019) Fuzzy kernel alignment with application to attribute reduction of heterogeneous data. IEEE Trans Fuzzy Syst 27(7):1469\u20131478","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1142_CR25","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2949765","author":"CZ Wang","year":"2019","unstructured":"Wang CZ, Wang Y, Shao MW, Qian YH, Chen DG (2019) Fuzzy rough attribute reduction for categorical data. IEEE Trans Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2019.2949765","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1142_CR26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2923430","author":"CZ Wang","year":"2019","unstructured":"Wang CZ, Huang Y, Shao MW, Hu QH, Chen DG (2019) Feature selection based on neighborhood self-information. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2019.2923430","journal-title":"IEEE Trans Cybernetics"},{"key":"1142_CR27","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.knosys.2018.10.038","volume":"164","author":"CZ Wang","year":"2019","unstructured":"Wang CZ, Huang Y, Shao MW, Fan XD (2019) Fuzzy rough set-based attribute reduction using distance measures. Knowl-Based Syst 164:205\u2013212","journal-title":"Knowl-Based Syst"},{"key":"1142_CR28","volume-title":"Kernel methods for pattern analysis","author":"ST John","year":"2006","unstructured":"John ST, Nello C (2006) Kernel methods for pattern analysis. China Machine Press, Beijing"},{"issue":"1","key":"1142_CR29","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.jco.2006.06.007","volume":"23","author":"Q Wu","year":"2007","unstructured":"Wu Q, Ying Y, Zhou DX (2007) Multi-kernel regularized classifiers. J. Complex 23(1):108\u2013134","journal-title":"J. Complexity"},{"issue":"5","key":"1142_CR30","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1162\/089976698300017467","volume":"10","author":"B Scholkopf","year":"1998","unstructured":"Scholkopf B, Smola A, Muller KR (1998) Nonlinear component analysis as a kernel eigenvalue problem. Neural Comput 10(5):1299\u20131319","journal-title":"Neural Comput"},{"key":"1142_CR31","first-page":"2075","volume":"6","author":"A Gretton","year":"2005","unstructured":"Gretton A, Herbrich R, Smola A, Bousquet O, Sch\u00f6lkopf B (2005) Kernel methods for measuring independence. J Mach Learn Res 6:2075\u20132129","journal-title":"J Mach Learn Res"},{"key":"1142_CR32","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"VN Vapnik","year":"1995","unstructured":"Vapnik VN (1995) The nature of statistical learning theory. Springer, New York"},{"key":"1142_CR33","volume-title":"Support vector machines","author":"I Steinwart","year":"2008","unstructured":"Steinwart I, Christmann A (2008) Support vector machines. Springer, Berlin"},{"key":"1142_CR34","volume-title":"Support vector machines: Theory, Algorithms, and Extensions","author":"NY Deng","year":"2009","unstructured":"Deng NY, Tian YJ (2009) Support vector machines: theory, algorithms, and extensions. Science Press, Beijing"},{"issue":"2","key":"1142_CR35","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1109\/72.991432","volume":"13","author":"CF Lin","year":"2002","unstructured":"Lin CF, Wang SD (2002) Fuzzy support vector machine. IEEE Trans Neural Netw 13(2):464\u2013471","journal-title":"IEEE Trans. Neural Networks"},{"issue":"4","key":"1142_CR36","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1016\/j.fss.2009.04.007","volume":"161","author":"DG Chen","year":"2010","unstructured":"Chen DG, He Q, Wang XZ (2010) FRSVMs: fuzzy rough set based support vector machines. Fuzzy Sets Syst 161(4):596\u2013607","journal-title":"Fuzzy Sets Syst"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01142-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-020-01142-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01142-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T23:56:49Z","timestamp":1621987009000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-020-01142-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,26]]},"references-count":36,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2020,11]]}},"alternative-id":["1142"],"URL":"https:\/\/doi.org\/10.1007\/s13042-020-01142-2","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,26]]},"assertion":[{"value":"22 April 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}