{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:23:21Z","timestamp":1760711001103,"version":"3.37.3"},"reference-count":69,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T00:00:00Z","timestamp":1654128000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T00:00:00Z","timestamp":1654128000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"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":["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":["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":["61906078"],"award-info":[{"award-number":["61906078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province","award":["OBDMA202104"],"award-info":[{"award-number":["OBDMA202104"]}]},{"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":["Appl Intell"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s10489-022-03696-w","type":"journal-article","created":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T22:02:25Z","timestamp":1654207345000},"page":"3750-3765","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A Q-learning approach to attribute reduction"],"prefix":"10.1007","volume":"53","author":[{"given":"Yuxin","family":"Liu","sequence":"first","affiliation":[]},{"given":"Zhice","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Keyu","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Suping","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Hengrong","family":"Ju","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9708-1027","authenticated-orcid":false,"given":"Xibei","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,2]]},"reference":[{"key":"3696_CR1","doi-asserted-by":"crossref","unstructured":"Akila S, Christe SA (2022) A wrapper based binary bat algorithm with greedy crossover for attribute selection. Expert Systems with Applications, 187, Article, 115828","DOI":"10.1016\/j.eswa.2021.115828"},{"key":"3696_CR2","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/s13042-021-01404-7","volume":"13","author":"J Ba","year":"2022","unstructured":"Ba J, Liu KY, Ju HR, Xu SP, Xu TH, Yang XB (2022) Triple-g: a new MGRS and attribute reduction. Int J Mach Learn Cybern 13:337\u2013356","journal-title":"Int J Mach Learn Cybern"},{"key":"3696_CR3","doi-asserted-by":"crossref","unstructured":"Bania RK, Halder A (2020) R-ensembler: a greedy rough set based ensemble attribute selection algorithm with k NN imputation for classification of medical data. Computer Methods and Programs in Biomedicine, 184, Article, 105122","DOI":"10.1016\/j.cmpb.2019.105122"},{"key":"3696_CR4","unstructured":"Breiman L, Friedman J, Stone CJ, Olshen RA (1984) Classification and regression trees. Chapman and hall\/CRC"},{"key":"3696_CR5","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.knosys.2019.02.014","volume":"172","author":"MJ Cai","year":"2019","unstructured":"Cai MJ, Lang GM, Fujita H, Li ZY, Yang T (2019) Incremental approaches to updating reducts under dynamic covering granularity. Knowl-Based Syst 172:130\u2013140","journal-title":"Knowl-Based Syst"},{"key":"3696_CR6","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/s41066-016-0029-y","volume":"2","author":"MJ Cai","year":"2017","unstructured":"Cai MJ, Li QG, Lang GM (2017) Shadowed sets of dynamic fuzzy sets. Granular Computing 2:85\u201394","journal-title":"Granular Computing"},{"key":"3696_CR7","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1007\/s13042-015-0484-9","volume":"8","author":"MJ Cai","year":"2017","unstructured":"Cai MJ, Li QG, Ma JM (2017) Knowledge reduction of dynamic covering decision information systems caused by variations of attribute values. Int J Mach Learn Cybern 8:1131\u20131144","journal-title":"Int J Mach Learn Cybern"},{"key":"3696_CR8","doi-asserted-by":"publisher","first-page":"12201","DOI":"10.1007\/s00521-019-04368-6","volume":"32","author":"H Chantar","year":"2020","unstructured":"Chantar H, Mafarjia M, Alsawalqah H, Heidari AA, Aljarah I, Faris H (2020) Feature selection using binary grey wolf optimizer with elite-based crossover for arabic text classification. Neural Comput & Applic 32:12201\u201312220","journal-title":"Neural Comput & Applic"},{"key":"3696_CR9","doi-asserted-by":"crossref","unstructured":"Chen Y, Wang PX, Yang XB, Mi JS, Liu D (2021) Granular ball guided selector for attribute reduction. Knowledge-Based Systems, 229 Article 107326","DOI":"10.1016\/j.knosys.2021.107326"},{"key":"3696_CR10","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.ijar.2021.09.016","volume":"140","author":"Z Chen","year":"2022","unstructured":"Chen Z, Liu KY, Yang XB, Fujita H (2022) Random sampling accelerator for attribute reduction. Int J Approx Reason 140:75\u201391","journal-title":"Int J Approx Reason"},{"key":"3696_CR11","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.knosys.2018.11.024","volume":"165","author":"G Dhiman","year":"2019","unstructured":"Dhiman G, Kumar V (2019) Seagull optimization algorithm: theory and its applications for large-scale industrial engineering problems. Knowl-Based Syst 165:169\u2013196","journal-title":"Knowl-Based Syst"},{"key":"3696_CR12","doi-asserted-by":"publisher","first-page":"1395","DOI":"10.1109\/TFUZZ.2020.2975152","volume":"29","author":"WP Ding","year":"2021","unstructured":"Ding WP, Pedrycz W, Triguero I, Cao ZH, Lin CT (2021) Multigranulation supertrust model for attribute reduction. IEEE Trans Fuzzy Syst 29:1395\u20131408","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"3696_CR13","doi-asserted-by":"publisher","first-page":"3577","DOI":"10.1016\/j.ins.2008.05.024","volume":"178","author":"QH Hu","year":"2008","unstructured":"Hu QH, Yu DR, Liu JF, Wu CX (2008) Neighborhood rough set based heterogeneous feature subset selection. Inf Sci 178:3577\u20133594","journal-title":"Inf Sci"},{"key":"3696_CR14","doi-asserted-by":"publisher","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 34:866\u2013876","journal-title":"Expert Syst Appl"},{"key":"3696_CR15","doi-asserted-by":"publisher","first-page":"3728","DOI":"10.1016\/j.patcog.2007.04.022","volume":"40","author":"QH Hu","year":"2007","unstructured":"Hu QH, Yu DR, Xie ZX, Li XD (2007) EROS: Ensemble rough subspaces. Pattern Recogn 40:3728\u20133739","journal-title":"Pattern Recogn"},{"key":"3696_CR16","doi-asserted-by":"publisher","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":"3696_CR17","doi-asserted-by":"publisher","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 (Cybernetics) 40:137\u2013150","journal-title":"IEEE Trans Syst Man Cybern, Part B (Cybernetics)"},{"key":"3696_CR18","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.patcog.2009.06.009","volume":"43","author":"AG Iffat","year":"2010","unstructured":"Iffat AG, Smith LS (2010) Feature subset selection in large dimensionality domains. Pattern Recogn 43:5\u201313","journal-title":"Pattern Recogn"},{"key":"3696_CR19","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.knosys.2015.05.017","volume":"91","author":"XY Jia","year":"2016","unstructured":"Jia XY, Shang L, Zhou B, Yao YY (2016) Generalized attribute reduct in rough set theory. Knowl-Based Syst 91:204\u2013218","journal-title":"Knowl-Based Syst"},{"key":"3696_CR20","doi-asserted-by":"publisher","first-page":"3115","DOI":"10.1007\/s10462-020-09922-6","volume":"54","author":"F Jiang","year":"2021","unstructured":"Jiang F, Yu X, Zhao HB, Gong DW, Du JW (2021) Ensemble learning based on random super-reduct and resampling. Artif Intell Rev 54:3115\u20133140","journal-title":"Artif Intell Rev"},{"key":"3696_CR21","doi-asserted-by":"crossref","unstructured":"Jiang ZH, Liu KY, Song JJ, Yang XB, Li JH, Qian YH (2021) Accelerator for crosswise computing reduct. Applied Soft Computing, 98 Article 106740","DOI":"10.1016\/j.asoc.2020.106740"},{"key":"3696_CR22","doi-asserted-by":"publisher","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":"3696_CR23","doi-asserted-by":"crossref","unstructured":"Ju HR, Wang WP, Yang XB, Fujita H, Xu SP (2021) Robust supervised rough granular description model with the principle of justifiable granularity. Applies Soft Computing, 110 Article 107612","DOI":"10.1016\/j.asoc.2021.107612"},{"key":"3696_CR24","doi-asserted-by":"publisher","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":"3696_CR25","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/j.ins.2016.01.103","volume":"355-356","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 355-356:282\u2013298","journal-title":"Inf Sci"},{"key":"3696_CR26","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.knosys.2018.05.019","volume":"162","author":"GM Lang","year":"2018","unstructured":"Lang GM, Cai MJ, Fujita H, Xiao QM (2018) Related families-based attribute reduction of dynamic covering decision information systems. Knowl-Based Syst 162:161\u2013173","journal-title":"Knowl-Based Syst"},{"key":"3696_CR27","doi-asserted-by":"publisher","first-page":"1081","DOI":"10.1007\/s10115-019-01359-w","volume":"60","author":"GM Lang","year":"2019","unstructured":"Lang GM, Li QG, Cai MJ, Fujita H, Zhang HY (2019) Related families-based methods for updating reducts under dynamic object sets. Knowl Inf Syst 60:1081\u20131104","journal-title":"Knowl Inf Syst"},{"key":"3696_CR28","doi-asserted-by":"publisher","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 Cybern 10:731\u2013742","journal-title":"Int J Mach Learn Cybern"},{"key":"3696_CR29","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.ins.2021.11.034","volume":"583","author":"KY Liu","year":"2022","unstructured":"Liu KY, Li TR, Yang XB, Yang X, Liu D, Zhang PF, Wang J (2022) Granular cabin: an efficient solution to neighborhood learning in big data. Inf Sci 583:189\u2013201","journal-title":"Inf Sci"},{"key":"3696_CR30","doi-asserted-by":"publisher","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":"3696_CR31","doi-asserted-by":"publisher","first-page":"2149","DOI":"10.1007\/s13042-020-01107-5","volume":"11","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 11:2149\u20132163","journal-title":"Int J Mach Learn Cybern"},{"key":"3696_CR32","doi-asserted-by":"crossref","unstructured":"Li SQ, Harner EJ, Adjeroh DA (2011) Random KNN feature selection - a fast stable alternative to random forests. BMC Bioinformatics, 12, Article, 450","DOI":"10.1186\/1471-2105-12-450"},{"key":"3696_CR33","doi-asserted-by":"publisher","first-page":"1388","DOI":"10.1109\/TNNLS.2014.2341627","volume":"26","author":"Y Li","year":"2014","unstructured":"Li Y, Si JN, 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":"3696_CR34","doi-asserted-by":"publisher","first-page":"1557","DOI":"10.1007\/s00500-017-2879-x","volume":"23","author":"F Min","year":"2019","unstructured":"Min F, Liu FL, Wen LY, Zhang ZH (2019) Tri-partition cost-sensitive active learning through kNN. Soft Comput 23:1557\u20131572","journal-title":"Soft Comput"},{"key":"3696_CR35","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.ins.2016.11.024","volume":"382\u2013383","author":"YH Qian","year":"2017","unstructured":"Qian YH, Cheng HH, Wang JT, Liang JY, Pedrycz W, Dang CY (2017) Grouping granular structures in human granulation intelligence. Inf Sci 382\u2013383:150\u2013169","journal-title":"Inf Sci"},{"key":"3696_CR36","doi-asserted-by":"publisher","first-page":"1658","DOI":"10.1016\/j.patcog.2011.02.020","volume":"44","author":"YH Qian","year":"2011","unstructured":"Qian YH, Liang JY, Pedrycz W, Dang CY (2011) An efficient accelerator for attribute reduction from incomplete data in rough set framework. Pattern Recogn 44:1658\u20131670","journal-title":"Pattern Recogn"},{"key":"3696_CR37","doi-asserted-by":"publisher","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":"3696_CR38","first-page":"679","volume":"6","author":"B Richard","year":"1957","unstructured":"Richard B (1957) A Markovian decision process. J Math Mech 6:679\u2013684","journal-title":"J Math Mech"},{"key":"3696_CR39","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 Systems, 200, Article 106014","DOI":"10.1016\/j.knosys.2020.106014"},{"key":"3696_CR40","doi-asserted-by":"publisher","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\u2013 257","journal-title":"Appl Artif Intell"},{"key":"3696_CR41","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1109\/TFUZZ.2020.2989098","volume":"29","author":"L Sun","year":"2021","unstructured":"Sun L, Wang LY, Ding WP, Qian YH, Xu JC (2021) Feature selection using fuzzy neighborhood entropy-based uncertainty measures for fuzzy neighborhood multigranulation rough sets. IEEE Trans Fuzzy Syst 29:19\u201333","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"3696_CR42","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.ins.2021.08.032","volume":"578","author":"L Sun","year":"2021","unstructured":"Sun L, Wang TX, Ding WP, Xu JC, Lin YJ (2021) Feature selection using fisher score and multilabel neighborhood rough sets for multilabel classification. Inf Sci 578:87\u2013912","journal-title":"Inf Sci"},{"key":"3696_CR43","doi-asserted-by":"publisher","unstructured":"Sun L, Yin TY, Ding WP, Qian YH, Xu JC (2021) Feature selection with missing labels using multilabel fuzzy neighborhood rough sets and maximum relevance minimum redundancy. IEEE Trans Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2021.3053844","DOI":"10.1109\/TFUZZ.2021.3053844"},{"key":"3696_CR44","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1016\/j.ins.2022.02.004","volume":"593","author":"L Sun","year":"2022","unstructured":"Sun L, Zhang JX, Ding WP, Xu JC (2022) Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors. Inf Sci 593:591\u2013613","journal-title":"Inf Sci"},{"key":"3696_CR45","doi-asserted-by":"publisher","unstructured":"Thuy NN, Wongthanavasu S (2021) A novel feature selection method for high-dimensional mixed decision tables. IEEE Transactions on Neural Networks and Learning Systems. https:\/\/doi.org\/10.1109\/TNNLS.2020.3048080","DOI":"10.1109\/TNNLS.2020.3048080"},{"key":"3696_CR46","first-page":"2986","volume":"29","author":"CZ Wang","year":"2017","unstructured":"Wang CZ, Hu QH, Wang XZ, Chen DG, Qian YH, Dong Z (2017) Feature selection based on neighborhood discrimination index. IEEE Trans Neural Netw Learn Syst 29:2986\u20132999","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"3696_CR47","first-page":"1955","volume":"31","author":"GG Wang","year":"2019","unstructured":"Wang GG, Deb S, Cui ZH (2019) Monarch butterfly optimization. Neural Comput & Applic 31:1955\u20132014","journal-title":"Neural Comput & Applic"},{"key":"3696_CR48","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.ins.2021.01.028","volume":"559","author":"WJ Wang","year":"2021","unstructured":"Wang WJ, Zhan JM, Zhang C (2021) Three-way decisions based multi-attribute decision making with probabilistic dominance relations. Inf Sci 559:75\u201396","journal-title":"Inf Sci"},{"key":"3696_CR49","first-page":"87","volume":"44","author":"SY Xia","year":"2022","unstructured":"Xia SY, Peng DW, Meng DY, Zhang CQ, Wang GY, Giem E, Wei W, Chen ZZ (2022) Ball k-means: fast adaptive clustering with no bounds. IEEE Trans Pattern Anal Mach Intell 44:87\u201399","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3696_CR50","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1109\/TKDE.2020.2997039","volume":"34","author":"SY Xia","year":"2022","unstructured":"Xia SY, Zhang Z, Li WH, Wang GY, Giem E, Chen ZZ (2022) GBNRS: A novel rough set algorithm for fast adaptive attribute reduction in classification. IEEE Trans Knowl Data Eng 34:1231\u20131242","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3696_CR51","doi-asserted-by":"crossref","unstructured":"Xie XJ, Qian XL, Zhou Q, Zhou YH, Zhang T, Janicki R, Zhao W (2019) A novel test-cost-sensitive attribute reduction approach using the binary bat algorithm. Knowledge-Based Systems, 186 Article 104938","DOI":"10.1016\/j.knosys.2019.104938"},{"key":"3696_CR52","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.ijar.2020.02.003","volume":"121","author":"SP Xu","year":"2020","unstructured":"Xu SP, Ju HR, Shang L, Pedrycz W, Yang XB, Li C (2020) Label distribution learning: a local collaborative mechanism. Int J Approx Reason 121:59\u201384","journal-title":"Int J Approx Reason"},{"key":"3696_CR53","doi-asserted-by":"publisher","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":"3696_CR54","doi-asserted-by":"publisher","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":"3696_CR55","doi-asserted-by":"publisher","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":"3696_CR56","doi-asserted-by":"publisher","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":"5150","key":"3696_CR57","first-page":"100","volume":"II","author":"YY Yao","year":"2008","unstructured":"Yao YY, Zhao Y, Wang J (2008) On reduct construction algorithms. Transactions on Computational Science II(5150):100\u2013117","journal-title":"Transactions on Computational Science"},{"key":"3696_CR58","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.ins.2021.04.083","volume":"572","author":"Z Yuan","year":"2021","unstructured":"Yuan Z, Chen HM, Li TR, Yu Z, Sang BB, Luo C (2021) Unsupervised attribute reduction for mixed data based on fuzzy rough sets. Inf Sci 572:67\u201387","journal-title":"Inf Sci"},{"key":"3696_CR59","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.ijar.2022.01.002","volume":"143","author":"C Zhang","year":"2022","unstructured":"Zhang C, Bai WH, Li DY, Zhan JM (2022) Multiple attribute group decision making based on multigranulation probabilistic models, multimoora and tpop in incomplete q-rung orthopair fuzzy information systems. Int J Approx Reason 143:102\u2013120","journal-title":"Int J Approx Reason"},{"key":"3696_CR60","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.ijar.2021.08.004","volume":"138","author":"C Zhang","year":"2021","unstructured":"Zhang C, Ding JJ, Li DY, Zhan JM (2021) A novel multi-granularity three-way decision making approach in q-rung orthopair fuzzy information systems. Int J Approx Reason 138:161\u2013187","journal-title":"Int J Approx Reason"},{"key":"3696_CR61","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.ins.2019.09.037","volume":"511","author":"C Zhang","year":"2020","unstructured":"Zhang C, Li DY, Liang JY (2020) Interval-valued hesitant fuzzy multi-granularity three-way decisions in consensus processes with applications to multi-attribute group decision making. Inf Sci 511:192\u2013211","journal-title":"Inf Sci"},{"key":"3696_CR62","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/j.ins.2019.01.033","volume":"507","author":"C Zhang","year":"2020","unstructured":"Zhang C, Li DY, Liang JY (2020) Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes. Inf Sci 507:665\u2013683","journal-title":"Inf Sci"},{"key":"3696_CR63","doi-asserted-by":"publisher","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 entroy. Pattern Recogn 56:1\u201315","journal-title":"Pattern Recogn"},{"key":"3696_CR64","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1016\/j.ins.2021.12.012","volume":"587","author":"XY Zhang","year":"2022","unstructured":"Zhang XY, Chen J (2022) Three-hierarchical three-way decision models for conflict analysis: a qualitative improvement and a quantitative extension. Inf Sci 587:485\u2013514","journal-title":"Inf Sci"},{"key":"3696_CR65","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.patrec.2021.03.001","volume":"146","author":"XY Zhang","year":"2021","unstructured":"Zhang XY, Fan YR, Yang JL (2021) Feature selection based on fuzzy-neighborhood relative decision entropy. Pattern Recogn Lett 146:100\u2013107","journal-title":"Pattern Recogn Lett"},{"key":"3696_CR66","doi-asserted-by":"crossref","unstructured":"Zhang XY, Gou HY, Lv ZY, Miao DQ (2021) Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system Knowledge-Based Systems, 217 Article 106799","DOI":"10.1016\/j.knosys.2021.106799"},{"key":"3696_CR67","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.ins.2021.01.080","volume":"563","author":"XY Zhang","year":"2021","unstructured":"Zhang XY, Yao H, Lv ZY, Miao DQ (2021) Class-specific information measures and attribute reducts for hierarchy and systematicness. Inf Sci 563:196\u2013225","journal-title":"Inf Sci"},{"key":"3696_CR68","doi-asserted-by":"crossref","unstructured":"Zhang XY, Yao YY (2022) Tri-level attribute reduction in rough set theory. Expert Systems with Applications, 190 Article 116187","DOI":"10.1016\/j.eswa.2021.116187"},{"key":"3696_CR69","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1109\/TFUZZ.2014.2327993","volume":"23","author":"SY Zhao","year":"2014","unstructured":"Zhao SY, Chen H, Li CP, Du XY, Sun H (2014) A novel approach to building arobust fuzzy rough classifier. IEEE Trans Fuzzy Syst 23:769\u2013786","journal-title":"IEEE Trans Fuzzy Syst"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03696-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03696-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03696-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,3]],"date-time":"2023-02-03T15:41:10Z","timestamp":1675438870000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03696-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,2]]},"references-count":69,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["3696"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03696-w","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2022,6,2]]},"assertion":[{"value":"29 April 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}