{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:08:17Z","timestamp":1775146097487,"version":"3.50.1"},"reference-count":65,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T00:00:00Z","timestamp":1628467200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T00:00:00Z","timestamp":1628467200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62076111"],"award-info":[{"award-number":["62076111"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62006099"],"award-info":[{"award-number":["62006099"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62006128"],"award-info":[{"award-number":["62006128"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61906078"],"award-info":[{"award-number":["61906078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"The Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province","award":["OBDMA202002"],"award-info":[{"award-number":["OBDMA202002"]}]},{"name":"postgraduate research and practice innovation program of jiangsu province","award":["No. KYCX21_3488"],"award-info":[{"award-number":["No. KYCX21_3488"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s13042-021-01404-7","type":"journal-article","created":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T06:02:46Z","timestamp":1628488966000},"page":"337-356","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Triple-G: a new MGRS and attribute reduction"],"prefix":"10.1007","volume":"13","author":[{"given":"Jing","family":"Ba","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengrong","family":"Ju","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suping","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taihua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xibei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,9]]},"reference":[{"issue":"3","key":"1404_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang CC, Lin CJ (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):1\u201339","journal-title":"ACM Trans Intell Syst Technol"},{"issue":"1","key":"1404_CR2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"TM Cover","year":"1967","unstructured":"Cover TM, Hart PE (1967) Nearest neighbor pattern classification. IEEE Trans Inform Theory 13(1):21\u201327","journal-title":"IEEE Trans Inform Theory"},{"key":"1404_CR3","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.ins.2020.05.010","volume":"535","author":"Y Chen","year":"2020","unstructured":"Chen Y, Liu KY, Song JJ, Fujita H, Yang XB, Qian YH (2020) Attribute group for attribute reduction. Inform Sci 535:64\u201380","journal-title":"Inform Sci"},{"issue":"1","key":"1404_CR4","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach. Learn. Res 7(1):1\u201330","journal-title":"J Mach. Learn. Res"},{"issue":"8","key":"1404_CR5","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1016\/j.patrec.2009.09.011","volume":"31","author":"AK Jain","year":"2010","unstructured":"Jain AK (2010) Data clustering: 50 years beyond K-means. Pattern Recognit Lett 31(8):651\u2013666","journal-title":"Pattern Recognit Lett"},{"key":"1404_CR6","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.ins.2016.09.061","volume":"375","author":"GX Jiang","year":"2017","unstructured":"Jiang GX, Wang WJ (2017) Markov cross-validation for time series model evaluations. Inform Sci 375:219\u2013233","journal-title":"Inform Sci"},{"key":"1404_CR7","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.ijar.2019.12.013","volume":"119","author":"ZH Jiang","year":"2020","unstructured":"Jiang ZH, Liu KY, Yang XB, Yu HL, Fujita H, Qian YH (2020) Accelerator for supervised neighborhood based attribute reduction. Int J Approx Reasoning 119:122\u2013150","journal-title":"Int J Approx Reasoning"},{"key":"1404_CR8","doi-asserted-by":"crossref","first-page":"3237","DOI":"10.1007\/s00500-018-3205-y","volume":"23","author":"QZ Kong","year":"2019","unstructured":"Kong QZ, Xu WH (2019) The comparative study of covering rough sets and multi-granulation rough sets. Soft Comput 23:3237\u20133251","journal-title":"Soft Comput"},{"key":"1404_CR9","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 53:1353\u20131371","journal-title":"Artif Intell Rev"},{"issue":"2","key":"1404_CR10","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1016\/j.eswa.2006.10.043","volume":"34","author":"QH Hu","year":"2008","unstructured":"Hu QH, Yu DR, Xie ZX (2008) Neighborhood classifiers. Expert Syst Appl 34(2):866\u2013876","journal-title":"Expert Syst Appl"},{"issue":"1","key":"1404_CR11","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1109\/TSMCB.2009.2024166","volume":"40","author":"QH Hu","year":"2010","unstructured":"Hu QH, Pedrycz W, Yu DR, Lang J (2010) Selecting discrete and continuous features based on neighborhood decision error minimization. IEEE Trans Syst Man Cybernet Part B-Cybernet 40(1):137\u2013150","journal-title":"IEEE Trans Syst Man Cybernet Part B-Cybernet"},{"key":"1404_CR12","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.knosys.2019.04.014","volume":"177","author":"ZH Jiang","year":"2019","unstructured":"Jiang ZH, Yang XB, Yu HL, Liu D, Wang PX, Qian YH (2019) Accelerator for multi-granularity attribute reduction. Knowl-Based Syst 177:145\u2013158","journal-title":"Knowl-Based Syst"},{"key":"1404_CR13","doi-asserted-by":"crossref","unstructured":"Jiang ZH, Liu KY, Song JJ, Yang XB, Li JH, Qian YH (2021) Accelerator for crosswise computing reduct. Appl Soft Comput 98:106740","DOI":"10.1016\/j.asoc.2020.106740"},{"key":"1404_CR14","doi-asserted-by":"crossref","unstructured":"Ju HR, Ding WP, Yang XB, Fujita H, Xu SP (2021) Robust supervised rough granular description model with the principle of justifiable granularity. Appl Soft Comput 110:107612","DOI":"10.1016\/j.asoc.2021.107612"},{"key":"1404_CR15","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.knosys.2018.08.022","volume":"163","author":"HR Ju","year":"2019","unstructured":"Ju HR, Pedrycz W, Li HX, Ding WP, Yang XB, Zhou XZ (2019) Sequential three-way classifier with justifiable granularity. Knowl-Based Syst 163:103\u2013119","journal-title":"Knowl-Based Syst"},{"issue":"6","key":"1404_CR16","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1007\/s13042-014-0242-4","volume":"5","author":"HR Ju","year":"2014","unstructured":"Ju HR, Yang XB, Song XN, Qi YS (2014) Dynamic updating multigranulation fuzzy rough set: approximations and reducts. Int J Mach Learn Cybernet 5(6):981\u2013990","journal-title":"Int J Mach Learn Cybernet"},{"key":"1404_CR17","first-page":"282","volume":"355\u2013356","author":"HR Ju","year":"2016","unstructured":"Ju HR, Yang XB, Yu HL, Li TJ, Yu DJ, Yang JY (2016) Cost-sensitive rough set approach. Inform Sci 355\u2013356:282\u2013298","journal-title":"Inform Sci"},{"issue":"3","key":"1404_CR18","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1142\/s0218488515500191","volume":"23","author":"GP Lin","year":"2015","unstructured":"Lin GP, Liang JY, Qian YH (2015) Uncertainty measures for multigranulation approximation space. Int J Uncert Fuzziness Knowl-Based Syst 23(3):443\u2013457","journal-title":"Int J Uncert Fuzziness Knowl-Based Syst"},{"key":"1404_CR19","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.ins.2013.03.046","volume":"241","author":"GP Lin","year":"2013","unstructured":"Lin GP, Liang JY, Qian YH (2013) Multigranulation rough sets: from partition to covering. Inform Sci 241:101\u2013118","journal-title":"Inform Sci"},{"key":"1404_CR20","doi-asserted-by":"crossref","unstructured":"Li JH, Liu ZM (2020) Granule description in knowledge granularity and representation. Knowledge-Based Syst 203:106160","DOI":"10.1016\/j.knosys.2020.106160"},{"issue":"7","key":"1404_CR21","doi-asserted-by":"crossref","first-page":"1080","DOI":"10.1016\/j.ijar.2012.05.004","volume":"53","author":"GP Lin","year":"2012","unstructured":"Lin GP, Qian YH, Li JJ (2012) NMGRS: neighborhood-based multigranulation rough sets. Int J Approx Reason 53(7):1080\u20131093","journal-title":"Int J Approx Reason"},{"key":"1404_CR22","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/j.ins.2016.10.008","volume":"378","author":"FJ Li","year":"2017","unstructured":"Li FJ, Qian YH, Wang JT, Liang JY (2017) Multigranulation information fusion: a Dempster\u2013Shafer evidence theory-based clustering ensemble method. Inform Sci 378:389\u2013409","journal-title":"Inform Sci"},{"key":"1404_CR23","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.knosys.2015.07.024","volume":"91","author":"JH Li","year":"2016","unstructured":"Li JH, Ren Y, Mei CL, Qian YH, Yang XB (2016) A comparative study of multi granulation rough sets and concept lattices via rule acquisition. Knowledge-Based Systems 91:152\u2013164","journal-title":"Knowledge-Based Systems"},{"key":"1404_CR24","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1016\/j.ins.2019.07.051","volume":"505","author":"KY Liu","year":"2019","unstructured":"Liu KY, Yang XB, Fujita H, Liu D, Yang X, Qian YH (2019) An efficient selector for multi-granularity attribute reduction. Inform Sci 505:457\u2013472","journal-title":"Inform Sci"},{"issue":"4","key":"1404_CR25","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1007\/s13042-017-0758-5","volume":"10","author":"JZ Li","year":"2019","unstructured":"Li JZ, Yang XB, Song XN, Li JH, Wang PX, Yu DJ (2019) Neighborhood attribute reduction: a multi-criterion approach. Int J Mach Learn Cybernet 10(4):731\u2013742","journal-title":"Int J Mach Learn Cybernet"},{"key":"1404_CR26","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.ins.2013.08.022","volume":"271","author":"Y Liu","year":"2014","unstructured":"Liu Y, Huang WL, Jiang YL, Zeng ZY (2014) Quick attribute reduct algorithm for neighborhood rough set model. Inform Sci 271:65\u201381","journal-title":"Inform Sci"},{"issue":"22","key":"1404_CR27","doi-asserted-by":"crossref","first-page":"4928","DOI":"10.1016\/j.ins.2011.07.010","volume":"181","author":"F Min","year":"2011","unstructured":"Min F, He HP, Qian YH, Zhu W (2011) Test-cost-sensitive attribute reduction. Inform Sci 181(22):4928\u20134942","journal-title":"Inform Sci"},{"key":"1404_CR28","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 Academic Publishers"},{"key":"1404_CR29","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.ins.2016.11.024","volume":"382","author":"YH Qian","year":"2017","unstructured":"Qian YH, Cheng HH, Wang JT, Liang JY (2017) Grouping granular structures in human granulation intelligence. Inform Sci 382:150\u2013169","journal-title":"Inform Sci"},{"issue":"6","key":"1404_CR30","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1142\/S0218488509006303","volume":"17","author":"YH Qian","year":"2009","unstructured":"Qian YH, Liang JY, Wang F (2009) A new method for measuring the uncertainty in incomplete information systems. Int J Uncertainty Fuzziness Knowl-Based Syst 17(6):855\u2013880","journal-title":"Int J Uncertainty Fuzziness Knowl-Based Syst"},{"issue":"9\u201310","key":"1404_CR31","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/j.artint.2010.04.018","volume":"174","author":"YH Qian","year":"2010","unstructured":"Qian YH, Liang JY, Pedrycz W, Dang CY (2010) Positive approximation: an accelerator for attribute reduction in rough set theory. Artif Intell 174(9\u201310):597\u2013618","journal-title":"Artif Intell"},{"issue":"6","key":"1404_CR32","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1016\/j.ins.2009.11.023","volume":"180","author":"YH Qian","year":"2010","unstructured":"Qian YH, Liang JY, Yao YY, Dang CY (2010) MGRS: a multi-granulation rough set. Inform Sci 180(6):949\u2013970","journal-title":"Inform Sci"},{"key":"1404_CR33","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.ijar.2016.12.008","volume":"82","author":"YH Qian","year":"2017","unstructured":"Qian YH, Liang XY, Lin GP, Guo Q, Liang JY (2017) Local multigranulation decision-theoretic rough sets. Int J Approx Reason 82:119\u2013137","journal-title":"Int J Approx Reason"},{"key":"1404_CR34","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.ijar.2018.01.008","volume":"97","author":"YH Qian","year":"2018","unstructured":"Qian YH, Liang XY, Wang Q (2018) Local rough set: a solution to rough data analysis in big data. Int J Approx Reason 97:38\u201363","journal-title":"Int J Approx Reason"},{"key":"1404_CR35","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.knosys.2017.01.036","volume":"123","author":"BZ Sun","year":"2017","unstructured":"Sun BZ, Ma WM, Qian YH (2017) Multigranulation fuzzy rough set over two universes and its application to decision making. Knowl-Based Syst 123:61\u201374","journal-title":"Knowl-Based Syst"},{"key":"1404_CR36","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.ijar.2019.09.009","volume":"115","author":"BB Sang","year":"2019","unstructured":"Sang BB, Yang L, Chen HM, Xu WH, Guo YT, Yuan Z (2019) Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system. Int J Approx Reason 115:157\u2013179","journal-title":"Int J Approx Reason"},{"issue":"2","key":"1404_CR37","doi-asserted-by":"crossref","first-page":"3263","DOI":"10.1007\/s13042-019-01015-3","volume":"10","author":"YH She","year":"2019","unstructured":"She YH, He XL, Qian T, Wang QQ, Zeng WL (2019) A theoretical study on object-oriented and property-oriented multi-scale formal concept analysis. Int J Mach Learn Cybernet 10(2):3263\u20133271","journal-title":"Int J Mach Learn Cybernet"},{"key":"1404_CR38","doi-asserted-by":"crossref","unstructured":"Rao XS, Yang XB, Yang X, Chen XJ, Liu D, Qian YH (2020) Quickly calculating reduct: an attribute relationship based approach. Knowledge-Based Syst 200:106014","DOI":"10.1016\/j.knosys.2020.106014"},{"key":"1404_CR39","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1007\/s13042-018-0822-9","volume":"10","author":"ECC Tsang","year":"2019","unstructured":"Tsang ECC, Song JJ, Chen DG, Yang XB (2019) Order based hierarchies on hesitant fuzzy approximation space. Int J Mach Learn Cybernet 10:1407\u20131422","journal-title":"Int J Mach Learn Cybernet"},{"issue":"7","key":"1404_CR40","first-page":"2986","volume":"29","author":"CZ Wang","year":"2018","unstructured":"Wang CZ, Hu QH, Wang XZ, Chen DG, Qian YH, Dong Z (2018) Feature selection based on neighborhood discrimination index. IEEE Trans Neural Netw Learn Syst 29(7):2986\u20132999","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"5","key":"1404_CR41","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1007\/s13042-020-01117-3","volume":"11","author":"XZ Wang","year":"2020","unstructured":"Wang XZ, Li JH (2020) New advances in three way decision, granular computing and concept lattice. Int J Mach Learn Cybernet 11(5):945\u2013946","journal-title":"Int J Mach Learn Cybernet"},{"issue":"5","key":"1404_CR42","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1007\/s13042-020-01117-3","volume":"11","author":"XZ Wang","year":"2020","unstructured":"Wang XZ, Li JH (2020) New advances in three-way decision, granular computing and concept lattice. Int J Mach Learn Cybernet 11(5):945\u2013946","journal-title":"Int J Mach Learn Cybernet"},{"issue":"20","key":"1404_CR43","doi-asserted-by":"crossref","first-page":"4493","DOI":"10.1016\/j.ins.2007.04.010","volume":"177","author":"XZ Wang","year":"2007","unstructured":"Wang XZ, Tsang ECC, Zhao SY, Chen DG, Yeung DS (2007) Learning fuzzy rules from fuzzy samples based on rough set technique. Inform Sci 177(20):4493\u20134514","journal-title":"Inform Sci"},{"key":"1404_CR44","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.inffus.2018.08.007","volume":"48","author":"W Wei","year":"2019","unstructured":"Wei W, Liang JY (2019) Information fusion in rough set theory?: an overview. Inform Fus 48:107\u2013118","journal-title":"Inform Fus"},{"key":"1404_CR45","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/j.knosys.2015.06.013","volume":"86","author":"W Wei","year":"2015","unstructured":"Wei W, Wang JH, Liang JY, Mi X, Dang CY (2015) Compacted decision tables based attribute reduction. Knowl-Based Syst 86:261\u2013277","journal-title":"Knowl-Based Syst"},{"key":"1404_CR46","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.ijar.2018.12.013","volume":"106","author":"CZ Wang","year":"2018","unstructured":"Wang CZ, Shi YP, Fan XD, Shao MW (2018) Attribute reduction based on k-nearest neighborhood rough sets. Int J Approx Reason 106:18\u201331","journal-title":"Int J Approx Reason"},{"issue":"5","key":"1404_CR47","doi-asserted-by":"crossref","first-page":"1439","DOI":"10.1007\/s13042-020-01244-x","volume":"12","author":"X Wang","year":"2021","unstructured":"Wang X, Wang PX, Yang XB, Yao YY (2021) Attribution reduction based on sequential three-way search of granularity. Int J Mach Learn Cybernet 12(5):1439\u20131458","journal-title":"Int J Mach Learn Cybernet"},{"key":"1404_CR48","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 105:190\u2013205","journal-title":"Knowl-Based Syst"},{"issue":"2","key":"1404_CR49","first-page":"166","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 Cybernet 46(2):166\u2013179","journal-title":"IEEE Trans Cybernet"},{"key":"1404_CR50","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.ins.2019.01.010","volume":"483","author":"SY Xia","year":"2019","unstructured":"Xia SY, Liu YS, Ding X, Wang GY, Yu H, Lu YG (2019) Granular ball computing classififiers for efficient, scalable and robust learning. Inform Sci 483:136\u2013152","journal-title":"Inform Sci"},{"key":"1404_CR51","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2997039","author":"SY Xia","year":"2020","unstructured":"Xia SY, Zhang Z, Li WH, Wang GY, Giem E, Chen ZZ (2020) GBNRS: a novel rough set algorithm for fast adaptive attribute reduction in classification. IEEE Trans Knowl Data Eng. https:\/\/doi.org\/10.1109\/TKDE.2020.2997039","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1404_CR52","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.knosys.2016.04.012","volume":"104","author":"SP Xu","year":"2016","unstructured":"Xu SP, Yang XB, Yu HL, Yu DJ, Yang JY, Tsang ECC (2016) Multi-label learning with label-specific feature reduction. Knowl-Based Syst 104:52\u201361","journal-title":"Knowl-Based Syst"},{"key":"1404_CR53","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.ijar.2018.11.010","volume":"105","author":"XB Yang","year":"2019","unstructured":"Yang XB, Liang SC, Yu HL, Gao S, Qian YH (2019) Pseudo-label neighborhood rough set: measures and attribute reductions. Int J Approx Reason 105:112\u2013129","journal-title":"Int J Approx Reason"},{"key":"1404_CR54","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.ins.2019.02.048","volume":"486","author":"X Yang","year":"2019","unstructured":"Yang X, Li TR, Liu D, Fujita H (2019) A temporal-spatial composite sequential approach of three-way granular computing. Inform Sci 486:171\u2013189","journal-title":"Inform Sci"},{"issue":"3","key":"1404_CR55","doi-asserted-by":"crossref","first-page":"365","DOI":"10.3233\/FI-2012-816","volume":"123","author":"XB Yang","year":"2013","unstructured":"Yang XB, Qian YH, Yang JY (2013) On characterizing hierarchies of granulation structures. Fundamenta Informaticae 123(3):365\u2013380","journal-title":"Fundamenta Informaticae"},{"issue":"2","key":"1404_CR56","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1007\/s41066-015-0011-0","volume":"1","author":"YY Yao","year":"2016","unstructured":"Yao YY (2016) A triarchic theory of granular computing. Granular Comput 1(2):145\u2013157","journal-title":"Granular Comput"},{"issue":"5","key":"1404_CR57","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.ijar.2020.04.003","volume":"122","author":"L Yang","year":"2020","unstructured":"Yang L, Xu WH, Zhang XY, Sang BB (2020) Multi-granulation method for information fusion in multi-source decision information system. Int J Approx Reason 122(5):47\u201365","journal-title":"Int J Approx Reason"},{"key":"1404_CR58","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1016\/j.ins.2017.08.038","volume":"418\u2013419","author":"YY Yao","year":"2017","unstructured":"Yao YY, Zhang XY (2017) Class-specfic attribute reducts in rough set theory. Inform Sci 418\u2013419:601\u2013618","journal-title":"Inform Sci"},{"key":"1404_CR59","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.knosys.2014.03.021","volume":"64","author":"XB Yang","year":"2014","unstructured":"Yang XB, Qi Y, Yu HL, Song XN, Yang JY (2014) Updating multigranulation rough approximations with increasing of granular structures. Knowl-Based Syst 64:59\u201369","journal-title":"Knowl-Based Syst"},{"key":"1404_CR60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.asoc.2018.05.013","volume":"70","author":"XB Yang","year":"2018","unstructured":"Yang XB, Yao YY (2018) Ensemble selector for attribute reduction. Appl Soft Comput 70:1\u201311","journal-title":"Appl Soft Comput"},{"issue":"6","key":"1404_CR61","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1080\/18756891.2012.747655","volume":"5","author":"XB Yang","year":"2012","unstructured":"Yang XB, Zhang YQ, Yang JY (2012) Local and global measurements of MGRS rules. Int J Comput Intell Syst 5(6):1010\u20131024","journal-title":"Int J Comput Intell Syst"},{"key":"1404_CR62","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.ins.2013.06.057","volume":"250","author":"XB Yang","year":"2013","unstructured":"Yang XB, Qi YS, Song XN, Yang JY (2013) Test cost sensitive multigranulation rough set: model and minimal cost selection. Inform Sci 250:184\u2013199","journal-title":"Inform Sci"},{"key":"1404_CR63","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.inffus.2020.11.004","volume":"68","author":"PF Zhang","year":"2021","unstructured":"Zhang PF, Li TR, Wang GQ, Luo C, Chen HM, Zhang JB, Wang DX, Yu Z (2021) Multi-source information fusion based on rough set theory: a review. Inform Fus 68:85\u2013117","journal-title":"Inform Fus"},{"key":"1404_CR64","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.patcog.2016.02.013","volume":"56","author":"X Zhang","year":"2016","unstructured":"Zhang X, Mei CL, Chen DG, Li JH (2016) Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy. Pattern Recognit 56:1\u201315","journal-title":"Pattern Recognit"},{"key":"1404_CR65","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1016\/j.ins.2018.12.074","volume":"481","author":"P Zhou","year":"2019","unstructured":"Zhou P, Hua XG, Li PP, Wu XD (2019) Online streaming feature selection using adapted neighborhood rough set. Inform Sci 481:258\u2013279","journal-title":"Inform Sci"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-021-01404-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-021-01404-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-021-01404-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T09:39:07Z","timestamp":1642757947000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-021-01404-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,9]]},"references-count":65,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["1404"],"URL":"https:\/\/doi.org\/10.1007\/s13042-021-01404-7","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,9]]},"assertion":[{"value":"27 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 July 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}