{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:48:24Z","timestamp":1770742104695,"version":"3.49.0"},"reference-count":65,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T00:00:00Z","timestamp":1609632000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T00:00:00Z","timestamp":1609632000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100007847","name":"Natural Science Foundation of Jilin Province","doi-asserted-by":"publisher","award":["62076111"],"award-info":[{"award-number":["62076111"]}],"id":[{"id":"10.13039\/100007847","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007847","name":"Natural Science Foundation of Jilin Province","doi-asserted-by":"publisher","award":["62006099"],"award-info":[{"award-number":["62006099"]}],"id":[{"id":"10.13039\/100007847","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007847","name":"Natural Science Foundation of Jilin Province","doi-asserted-by":"publisher","award":["62006128"],"award-info":[{"award-number":["62006128"]}],"id":[{"id":"10.13039\/100007847","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007847","name":"Natural Science Foundation of Jilin Province","doi-asserted-by":"publisher","award":["61906078"],"award-info":[{"award-number":["61906078"]}],"id":[{"id":"10.13039\/100007847","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Nature Science Foundation of Jiangsu","award":["BK20191457"],"award-info":[{"award-number":["BK20191457"]}]},{"name":"Foundation of Intelligent Information Processing Key Laboratory of Shanxi Province","award":["CICIP2020004"],"award-info":[{"award-number":["CICIP2020004"]}]},{"name":"Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province","award":["OBDMA202002"],"award-info":[{"award-number":["OBDMA202002"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1007\/s13042-020-01244-x","type":"journal-article","created":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T13:02:47Z","timestamp":1609678967000},"page":"1439-1458","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Attribution reduction based on sequential three-way search of granularity"],"prefix":"10.1007","volume":"12","author":[{"given":"Xun","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1290-6112","authenticated-orcid":false,"given":"Pingxin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xibei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiyu","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,3]]},"reference":[{"key":"1244_CR1","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 161:1871\u20131883","journal-title":"Fuzzy Sets Syst"},{"key":"1244_CR2","doi-asserted-by":"crossref","first-page":"2080","DOI":"10.1109\/TKDE.2011.89","volume":"24","author":"DG Chen","year":"2012","unstructured":"Chen DG, Zhao SY, Zhang L, Yang YP, Zhang X (2012) Sample pair selection for attribute reduction with rough set. IEEE Trans Knowl Data Eng 24:2080\u20132093","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1244_CR3","doi-asserted-by":"crossref","first-page":"1958","DOI":"10.1109\/TFUZZ.2014.2387877","volume":"23","author":"HM Chen","year":"2015","unstructured":"Chen HM, Li TR, Luo C, Horng SJ, Wang GY (2015) A decision-theoretic rough set approach for dynamic data mining. IEEE Trans Fuzzy Syst 23:1958\u20131970","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1244_CR4","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. Inf Sci 535:64\u201380","journal-title":"Inf Sci"},{"key":"1244_CR5","doi-asserted-by":"crossref","unstructured":"Chen Y, Song JJ, Liu KY, Lin YJ, Yang XB (2020) Combined accelerator for attribute reduction: a sample perspective. Mathematical Problems in Engineering, Article: 2350627","DOI":"10.1155\/2020\/2350627"},{"key":"1244_CR6","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.asoc.2012.07.029","volume":"13","author":"JH Dai","year":"2013","unstructured":"Dai JH, Xu Q (2013) Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification. Appl Soft Comput 13:211\u2013221","journal-title":"Appl Soft Comput"},{"key":"1244_CR7","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1049\/iet-ipr.2019.0025","volume":"14","author":"XG Hu","year":"2020","unstructured":"Hu XG, Yang HG (2020) DRU-net: a novel U-net for biomedical image segmentation. IET Image Proc 14:192\u2013200","journal-title":"IET Image Proc"},{"key":"1244_CR8","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 Cybern Part B 40:137\u2013150","journal-title":"IEEE Trans Syst Man Cybern Part B"},{"key":"1244_CR9","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.fss.2011.01.016","volume":"183","author":"QH Hu","year":"2011","unstructured":"Hu QH, An S, Yu X, Yu DR (2011) Robust fuzzy rough classifiers. Fuzzy Sets Syst 183:26\u201343","journal-title":"Fuzzy Sets Syst"},{"key":"1244_CR10","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":"1244_CR11","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 Reason 119:122\u2013150","journal-title":"Int J Approx Reason"},{"key":"1244_CR12","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 Cybern 5:981\u2013990","journal-title":"Int J Mach Learn Cybern"},{"key":"1244_CR13","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. Inf Sci 355\u2013356:282\u2013298","journal-title":"Inf Sci"},{"key":"1244_CR14","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"},{"key":"1244_CR15","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"},{"key":"1244_CR16","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1023\/A:1022859003006","volume":"51","author":"LI Kuncheva","year":"2003","unstructured":"Kuncheva LI, Whitaker CJ (2003) Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach Learn 51:181\u2013207","journal-title":"Mach Learn"},{"key":"1244_CR17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13042-013-0220-2","volume":"5","author":"GM Lang","year":"2014","unstructured":"Lang GM, Li QG, Cai MJ, Yang T, Xiao QM (2014) Incremental approaches to knowledge reduction based on characteristic matrices. Int J Mach Learn Cybern 5:1\u201320","journal-title":"Int J Mach Learn Cybern"},{"key":"1244_CR18","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1186\/1471-2105-12-450","volume":"12","author":"SQ Li","year":"2011","unstructured":"Li SQ, Harner EJ, Adjeroh DA (2011) Random KNN feature selection-A fast and stable alternative to Random Forests. BMC Bioinform 12:450","journal-title":"BMC Bioinform"},{"key":"1244_CR19","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1109\/TNNLS.2014.2341627","volume":"26","author":"Y Li","year":"2014","unstructured":"Li Y, Si J, Zhou GJ, Huang SS, Chen SC (2014) FREL: a stable feature selection algorithm. IEEE Trans Neural Netw Learn Syst 26:1388\u20131402","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"1244_CR20","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.ins.2019.09.032","volume":"510","author":"HX Li","year":"2020","unstructured":"Li HX, Zhang LB, Huang B, Zhou XZ (2020) Cost-sensitive dual-bidirectional linear discriminant analysis. Inf Sci 510:283\u2013303","journal-title":"Inf Sci"},{"key":"1244_CR21","doi-asserted-by":"crossref","first-page":"912","DOI":"10.1016\/j.ijar.2012.02.004","volume":"53","author":"JY Liang","year":"2012","unstructured":"Liang JY, Wang F, Dang CY, Qian YH (2012) An efficient rough feature selection algorithm with a multi-granulation view. Int J Approx Reason 53:912\u2013926","journal-title":"Int J Approx Reason"},{"key":"1244_CR22","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1109\/TFUZZ.2017.2735947","volume":"6","author":"YJ Lin","year":"2017","unstructured":"Lin YJ, Hu QH, Liu JH, Li JJ, Wu XD (2017) Streaming feature selection for multi-label learning based on fuzzy mutual information. IEEE Trans Fuzzy Syst 6:1491\u20131507","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1244_CR23","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. Inf Sci 271:65\u201381","journal-title":"Inf Sci"},{"key":"1244_CR24","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.ins.2019.05.010","volume":"495","author":"JB Liu","year":"2019","unstructured":"Liu JB, Li HX, Zhou XZ, Huang B, Wang TX (2019) An optimization-based formulation for three-way decisions. Inf Sci 495:185\u2013214","journal-title":"Inf Sci"},{"key":"1244_CR25","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. Inf Sci 505:457\u2013472","journal-title":"Inf Sci"},{"key":"1244_CR26","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.knosys.2018.11.034","volume":"165","author":"KY Liu","year":"2019","unstructured":"Liu KY, Yang XB, Yu HL, Mi JS, Wang PX, Chen XJ (2019) Rough set based semi-supervised feature selection via ensemble selector. Knowl-Based Syst 165:282\u2013296","journal-title":"Knowl-Based Syst"},{"key":"1244_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-020-01107-5","author":"KY Liu","year":"2020","unstructured":"Liu KY, Yang XB, Yu HL, Fujita H, Chen XJ, Liu D (2020) Supervised information granulation strategy for attribute reduction. Int J Mach Learn Cybern. https:\/\/doi.org\/10.1007\/s13042-020-01107-5","journal-title":"Int J Mach Learn Cybern"},{"key":"1244_CR28","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. Inf Sci 181:4928\u20134942","journal-title":"Inf Sci"},{"key":"1244_CR29","doi-asserted-by":"crossref","first-page":"1785","DOI":"10.1007\/s13042-018-0783-z","volume":"9","author":"JJ Niu","year":"2018","unstructured":"Niu JJ, Huang CC, Li JH, Fan M (2018) Parallel computing techniques for concept-cognitive learning based on granular computing. Int J Mach Learn Cybern 9:1785\u20131805","journal-title":"Int J Mach Learn Cybern"},{"key":"1244_CR30","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"},{"key":"1244_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 174:597\u2013618","journal-title":"Artif Intell"},{"key":"1244_CR32","doi-asserted-by":"crossref","first-page":"2717","DOI":"10.1109\/TKDE.2015.2429133","volume":"27","author":"YH Qian","year":"2015","unstructured":"Qian YH, Xu H, Liang JY, Liu B, Wang JT (2015) Fusing monotonic decision trees. IEEE Trans Knowl Data Eng 27:2717\u20132728","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1244_CR33","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.fss.2014.04.029","volume":"258","author":"YH Qian","year":"2015","unstructured":"Qian YH, Wang Q, Cheng HH, Liang JY, Dang CY (2015) Fuzzy-rough feature selection accelerator. Fuzzy Sets Syst 258:61\u201378","journal-title":"Fuzzy Sets Syst"},{"key":"1244_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, Liang JY, Liu B, Skowron A, Yao YY, Ma JM, Dang CY (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":"1244_CR35","doi-asserted-by":"crossref","first-page":"106014","DOI":"10.1016\/j.knosys.2020.106014","volume":"200","author":"XS Rao","year":"2020","unstructured":"Rao XS, Yang XB, Yang X, Chen XJ, Liu D, Qian YH (2020) Quickly calculating reduct: an attribute relationship based approach. Knowl Based Syst 200:106014","journal-title":"Knowl Based Syst"},{"key":"1244_CR36","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1080\/08839514.2014.883903","volume":"28","author":"C Sarkar","year":"2014","unstructured":"Sarkar C, Cooley S, Srivastava J (2014) Robust feature selection technique using rank aggregation. Appl Artif Intell 28:243\u2013257","journal-title":"Appl Artif Intell"},{"key":"1244_CR37","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.ins.2019.05.009","volume":"496","author":"Y Shi","year":"2019","unstructured":"Shi Y, Mi YL, Li JH, Liu WQ (2019) Concurrent concept-cognitive learning model for classification. Inf Sci 496:65\u201381","journal-title":"Inf Sci"},{"key":"1244_CR38","first-page":"365","volume":"53","author":"D \u015al\u0229zak","year":"2002","unstructured":"\u015al\u0229zak D (2002) Approximate entropy reducts. Fund Inf 53:365\u2013390","journal-title":"Fund Inf"},{"key":"1244_CR39","doi-asserted-by":"crossref","first-page":"3617","DOI":"10.1007\/s00500-015-1721-6","volume":"20","author":"BZ Sun","year":"2016","unstructured":"Sun BZ, Ma WM, Zhao HY (2016) An approach to emergency decision making based on decision-theoretic rough set over two universes. Soft Comput 20:3617\u20133628","journal-title":"Soft Comput"},{"key":"1244_CR40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13042-013-0222-0","volume":"6","author":"CC Tsang Eric","year":"2015","unstructured":"Tsang Eric CC, Sun BZ, Ma WM (2015) General relation-based variable precision rough fuzzy set. Int J Mach Learn Cybern 6:1\u201311","journal-title":"Int J Mach Learn Cybern"},{"key":"1244_CR41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13042-014-0232-6","volume":"7","author":"CC Tsang Eric","year":"2016","unstructured":"Tsang Eric CC, Hu QH, Chen DG (2016) Feature and instance reduction for PNN classifiers based on fuzzy rough sets. Int J Mach Learn Cybern 7:1\u201311","journal-title":"Int J Mach Learn Cybern"},{"key":"1244_CR42","doi-asserted-by":"crossref","first-page":"3619","DOI":"10.1007\/s13042-019-00948-z","volume":"10","author":"YB Wang","year":"2019","unstructured":"Wang YB, Chen XJ, Dong K (2019) Attribute reduction via local conditional entropy. Int J Mach Learn Cybern 10:3619\u20133634","journal-title":"Int J Mach Learn Cybern"},{"key":"1244_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106129","author":"TX Wang","year":"2020","unstructured":"Wang TX, Li HX, Zhou XZ, Huang B, Zhu HB (2020) A prospect theory-based three-way decision model. Knowl Based Syst. https:\/\/doi.org\/10.1016\/j.knosys.2020.106129","journal-title":"Knowl Based Syst"},{"key":"1244_CR44","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.ins.2020.01.030","volume":"519","author":"TX Wang","year":"2020","unstructured":"Wang TX, Li HX, Zhang LB, Zhou XZ, Huang B (2020) A three-way decision model based on cumulative prospect theory. Inf Sci 519:74\u201392","journal-title":"Inf Sci"},{"key":"1244_CR45","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1080\/03081079.2013.781166","volume":"42","author":"W Wei","year":"2013","unstructured":"Wei W, Liang JY, Wang JH, Qian YH (2013) Decision-relative discernibility matrices in the sense of entropies. Int J Gen Syst 42:721\u2013738","journal-title":"Int J Gen Syst"},{"key":"1244_CR46","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1016\/j.ijar.2013.03.017","volume":"54","author":"WZ Wu","year":"2013","unstructured":"Wu WZ, Leung Y (2013) Optimal scale selection for multi-scale decision tables. Int J Approx Reason 54:1107\u20131129","journal-title":"Int J Approx Reason"},{"key":"1244_CR47","doi-asserted-by":"crossref","unstructured":"Xu, SP., Yang, XB., Song, XN., Yu, HL.: Prediction of protein structural classes by decreasing nearest neighbor error rate. In: 2015 International conference on machine learning & cybernetics, Guangzhou, China, July 12\u201315, pp 7\u201313 (2015)","DOI":"10.1109\/ICMLC.2015.7340889"},{"key":"1244_CR48","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 46:366\u2013379","journal-title":"IEEE Trans Cybern"},{"key":"1244_CR49","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 Eric CC (2016) Multi-label learning with label-specific feature reduction. Knowl-Based Syst 104:52\u201361","journal-title":"Knowl-Based Syst"},{"key":"1244_CR50","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"},{"key":"1244_CR51","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. Inf Sci 250:184\u2013199","journal-title":"Inf Sci"},{"key":"1244_CR52","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":"1244_CR53","doi-asserted-by":"crossref","first-page":"277","DOI":"10.2991\/ijcis.2017.10.1.19","volume":"10","author":"XB Yang","year":"2017","unstructured":"Yang XB, Xu SP, Dou HL, Song XN, Yu HL, Yang JY (2017) Multigranulation rough set: a multiset based strategy. Int J Comput Intell Syst 10:277\u2013292","journal-title":"Int J Comput Intell Syst"},{"key":"1244_CR54","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 122:47\u201365","journal-title":"Int J Approx Reason"},{"key":"1244_CR55","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. Granul Comput 1:145\u2013157","journal-title":"Granul Comput"},{"key":"1244_CR56","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1007\/s12559-016-9397-5","volume":"8","author":"YY Yao","year":"2016","unstructured":"Yao YY (2016) Three-way decisions and cognitive computing. Cogn Comput 8:543\u2013554","journal-title":"Cogn Comput"},{"key":"1244_CR57","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1016\/j.ins.2008.11.020","volume":"179","author":"YY Yao","year":"2009","unstructured":"Yao YY, Zhao Y (2009) Discernibility matrix simplification for constructing attribute reducts. Inf Sci 179:867\u2013882","journal-title":"Inf Sci"},{"key":"1244_CR58","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2012.05.021","volume":"213","author":"YY Yao","year":"2012","unstructured":"Yao YY, Zhao LQ (2012) A measurement theory view on the granularity of partitions. Inf Sci 213:1\u201313","journal-title":"Inf Sci"},{"key":"1244_CR59","first-page":"100","volume":"2","author":"YY Yao","year":"2008","unstructured":"Yao YY, Zhao Y, Wang J (2008) On reduct construction algorithms, Transactions on Computational. Science 2:100\u2013117","journal-title":"Science"},{"key":"1244_CR60","doi-asserted-by":"crossref","unstructured":"Yu L, Ding C, Loscalzo S (2008) Stable feature selection via dense feature groups, In: ACM international conference on knowledge discovery and data mining, Las Vegas, Nevada, USA, August, pp 803\u2013811","DOI":"10.1145\/1401890.1401986"},{"key":"1244_CR61","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1109\/TPAMI.2014.2339815","volume":"37","author":"ML Zhang","year":"2015","unstructured":"Zhang ML, Wu L (2015) LIFT: multi-label learning with label-specific features. IEEE Trans Pattern Anal Mach Intell 37:107\u2013120","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1244_CR62","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 Recogn 56:1\u201315","journal-title":"Pattern Recogn"},{"key":"1244_CR63","doi-asserted-by":"crossref","first-page":"4959","DOI":"10.1016\/j.ins.2007.06.031","volume":"177","author":"Y Zhao","year":"2007","unstructured":"Zhao Y, Yao YY, Luo F (2007) Data analysis based on discernibility and indiscernibility. Inf Sci 177:4959\u20134976","journal-title":"Inf Sci"},{"key":"1244_CR64","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/TFUZZ.2014.2327993","volume":"23","author":"SY Zhao","year":"2015","unstructured":"Zhao SY, Chen H, Li CP, Du XY, Sun H (2015) A novel approach to building a robust fuzzy rough classifier. IEEE Trans Fuzzy Syst 23:769\u2013786","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1244_CR65","doi-asserted-by":"crossref","first-page":"1643","DOI":"10.1007\/s00500-011-0693-4","volume":"15","author":"J Zhou","year":"2011","unstructured":"Zhou J, Miao DQ (2011) $$\\beta$$-Interval attribute reduction in variable precision rough set model. Soft Comput 15:1643\u20131656","journal-title":"Soft Comput"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01244-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-020-01244-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01244-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,18]],"date-time":"2021-04-18T16:11:05Z","timestamp":1618762265000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-020-01244-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,3]]},"references-count":65,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["1244"],"URL":"https:\/\/doi.org\/10.1007\/s13042-020-01244-x","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,3]]},"assertion":[{"value":"30 June 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 November 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}