{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T10:30:18Z","timestamp":1781087418351,"version":"3.54.1"},"reference-count":68,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T00:00:00Z","timestamp":1698105600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T00:00:00Z","timestamp":1698105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62266018"],"award-info":[{"award-number":["62266018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61966016"],"award-info":[{"award-number":["61966016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["20202BABL202037"],"award-info":[{"award-number":["20202BABL202037"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1007\/s13042-023-01977-5","type":"journal-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T09:04:33Z","timestamp":1698138273000},"page":"1453-1472","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Incremental feature selection based on uncertainty measure for dynamic interval-valued data"],"prefix":"10.1007","volume":"15","author":[{"given":"Wenhao","family":"Shu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongtao","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbin","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,10,24]]},"reference":[{"issue":"3","key":"1977_CR1","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1109\/TKDE.2020.2997039","volume":"34","author":"S Xia","year":"2022","unstructured":"Xia S, Zhang H, Li W, Wang G, Giem E, Chen Z (2022) GBNRS: A Novel rough set algorithm for fast adaptive attribute reduction in classification. IEEE Trans Knowl Data Eng 34(3):1231\u20131242","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"6","key":"1977_CR2","doi-asserted-by":"crossref","first-page":"2651","DOI":"10.1007\/s00500-021-06687-0","volume":"26","author":"Y Yang","year":"2022","unstructured":"Yang Y, Chen D, Zhang X, Ji ZY (2022) Covering rough set-based incremental feature selection for mixed decision system. Soft Comput 26(6):2651\u20132669","journal-title":"Soft Comput"},{"key":"1977_CR3","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.1016\/j.ins.2022.07.048","volume":"608","author":"Z Ma","year":"2022","unstructured":"Ma Z, Mi J, Lin Y, Li J (2022) Boundary region-based variable precision covering rough set models. Inform Sci 608:1524\u20131540","journal-title":"Inform Sci"},{"key":"1977_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijar.2022.01.010","volume":"144","author":"J Xie","year":"2022","unstructured":"Xie J, Hu B, Jiang H (2022) A novel method to attribute reduction based on weighted neighborhood probabilistic rough sets. Int J Approx Reason 144:1\u201317","journal-title":"Int J Approx Reason"},{"key":"1977_CR5","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1016\/j.ins.2022.05.112","volume":"606","author":"L Sun","year":"2022","unstructured":"Sun L, Zhu L, Li W, Zhang C, Balezentis T (2022) Interval-valued functional clustering based on the Wasserstein distance with application to stock data. Inform Sci 606:910\u2013926","journal-title":"Inform Sci"},{"key":"1977_CR6","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.ijar.2020.11.001","volume":"129","author":"Y Ogasawara","year":"2021","unstructured":"Ogasawara Y, Kon M (2021) Two clustering methods based on the Ward\u2019s method and dendrograms with interval-valued dissimilarities for interval-valued data. Int J Approx Reason 129:103\u2013121","journal-title":"Int J Approx Reason"},{"key":"1977_CR7","doi-asserted-by":"crossref","first-page":"122754","DOI":"10.1109\/ACCESS.2021.3109013","volume":"9","author":"Y Peng","year":"2021","unstructured":"Peng Y, Zhang Q (2021) Feature selection for interval-valued data based on D-S evidence theory. IEEE Access 9:122754\u2013122765","journal-title":"IEEE Access"},{"issue":"9","key":"1977_CR8","doi-asserted-by":"crossref","first-page":"2021","DOI":"10.1007\/s13042-020-01091-w","volume":"11","author":"X Liu","year":"2020","unstructured":"Liu X, Dai J, Chen J, Zhang C (2020) Unsupervised attribute reduction based on alpha-approximate equal relation in interval-valued information systems. Int J Mach Learn Cybernet 11(9):2021\u20132038","journal-title":"Int J Mach Learn Cybernet"},{"key":"1977_CR9","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.knosys.2011.10.013","volume":"27","author":"J Dai","year":"2012","unstructured":"Dai J, Wang W, Xu Q, Tian H (2012) Uncertainty measurement for interval-valued decision systems based on extended conditional entropy. Knowl Based Syst 27:443\u2013450","journal-title":"Knowl Based Syst"},{"key":"1977_CR10","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/j.ins.2021.05.003","volume":"570","author":"S Li","year":"2021","unstructured":"Li S, Yang J, Wang G, Xu T (2021) Multi-granularity distance measure for interval-valued intuitionistic fuzzy concepts. Inform Sci 570:599\u2013622","journal-title":"Inform Sci"},{"key":"1977_CR11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3184120","author":"W Li","year":"2022","unstructured":"Li W, Zhou H, Xu W, Wang X, Pedrycz W (2022) Interval dominance-based feature selection for interval-valued ordered data. IEEE Trans Neural Networks Learn Syst. https:\/\/doi.org\/10.1109\/TNNLS.2022.3184120","journal-title":"IEEE Trans Neural Networks Learn Syst"},{"key":"1977_CR12","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.108800","volume":"121","author":"Y Yang","year":"2022","unstructured":"Yang Y, Chen D, Zhang X, Ji Z, Zhang Y (2022) Incremental feature selection by sample selection and feature-based accelerator. Appl Soft Comput 121:108800","journal-title":"Appl Soft Comput"},{"issue":"5","key":"1977_CR13","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1109\/TFUZZ.2019.2959995","volume":"28","author":"X Zhang","year":"2020","unstructured":"Zhang X, Mei C, Chen D, Yang Y, Li J (2020) Active incremental feature selection using a fuzzy-rough-set-based information entropy. IEEE Trans Fuzzy Syst 28(5):901\u2013915","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"6","key":"1977_CR14","doi-asserted-by":"crossref","first-page":"1683","DOI":"10.1109\/TFUZZ.2021.3064686","volume":"30","author":"B Sang","year":"2022","unstructured":"Sang B, Chen H, Yang L, Li T, Xu W (2022) Incremental feature selection using a conditional entropy based on fuzzy dominance neighborhood rough sets. IEEE Trans Fuzzy Syst30(6):1683\u20131697","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"11","key":"1977_CR15","doi-asserted-by":"crossref","first-page":"2565","DOI":"10.1007\/s13042-020-01142-2","volume":"11","author":"L Chen","year":"2020","unstructured":"Chen L, Chen Q (2020) A novel classification algorithm based on kernelized fuzzy rough sets. Int J Mach Learn Cybernet 11(11):2565\u20132572","journal-title":"Int J Mach Learn Cybernet"},{"key":"1977_CR16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijar.2019.11.010","volume":"118","author":"Y Liu","year":"2020","unstructured":"Liu Y, Zheng L, Xiu Y, Yin H, Zhao S, Wang X, Chen H, Li C (2020) Discernibility matrix based incremental feature selection on fused decision tables. Int J Approx Reason 118:1\u201326","journal-title":"Int J Approx Reason"},{"issue":"3","key":"1977_CR17","doi-asserted-by":"crossref","first-page":"5239","DOI":"10.3233\/JIFS-201998","volume":"40","author":"R Lin","year":"2021","unstructured":"Lin R, Li J, Chen D, Huang J, Chen Y (2021) Attribute reduction in fuzzy multi-covering decision systems via observational-consistency and fuzzy discernibility. J Intellig Fuzzy Syst 40(3):5239\u20135253","journal-title":"J Intellig Fuzzy Syst"},{"issue":"7","key":"1977_CR18","doi-asserted-by":"crossref","first-page":"3039","DOI":"10.1002\/int.22388","volume":"36","author":"D Li","year":"2021","unstructured":"Li D, Chi Z, Wang B, Wang Z, Yang H, Du W (2021) Entropy-based hybrid sampling ensemble learning for imbalanced data. Int J Intellig Syst 36(7):3039\u20133067","journal-title":"Int J Intellig Syst"},{"issue":"2","key":"1977_CR19","doi-asserted-by":"crossref","first-page":"1371","DOI":"10.1002\/int.22673","volume":"37","author":"W Jiang","year":"2021","unstructured":"Jiang W, Pan S, Lu C, Zhao Z, Lin S, Xiong M, He Z (2021) Label entropy-based cooperative particle swarm optimization algorithm for dynamic overlapping community detection in complex networks. Int J Intellig Syst 37(2):1371\u20131407","journal-title":"Int J Intellig Syst"},{"key":"1977_CR20","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.ins.2021.08.067","volume":"580","author":"C Gao","year":"2021","unstructured":"Gao C, Zhou J, Miao D, Yue X, Wan J (2021) Granular conditional entropy based attribute reduction for partially labeled data with proxy labels. Inform Sci 580:111\u2013128","journal-title":"Inform Sci"},{"issue":"5","key":"1977_CR21","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1080\/03081079.2021.1919101","volume":"50","author":"Z Li","year":"2021","unstructured":"Li Z, Qu L, Zhang G, Xie N (2021) Attribute selection for heterogeneous data based on information entropy. Int J Gener Syst 50(5):548\u2013566","journal-title":"Int J Gener Syst"},{"issue":"6","key":"1977_CR22","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1140\/epja\/s10050-020-00169-x","volume":"56","author":"F Li","year":"2020","unstructured":"Li F, Chen G (2020) The evolution of information entropy components in relativistic heavy-ion collisions. Eur Phys J A 56(6):167","journal-title":"Eur Phys J A"},{"issue":"7","key":"1977_CR23","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.1007\/s00500-014-1387-5","volume":"19","author":"J Zhao","year":"2015","unstructured":"Zhao J, Zhang Z, Han C, Zhou Z (2015) Complement information entropy for uncertainty measure in fuzzy rough set and its applications. Soft Comput 19(7):1997\u20132010","journal-title":"Soft Comput"},{"key":"1977_CR24","volume":"12","author":"H Zhang","year":"2021","unstructured":"Zhang H (2021) Feature selection using approximate conditional entropy based on fuzzy information granule for gene expression data classification. Front Genet 12:631505","journal-title":"Front Genet"},{"issue":"8","key":"1977_CR25","doi-asserted-by":"crossref","first-page":"9388","DOI":"10.1007\/s10489-021-02923-0","volume":"52","author":"JC Xu","year":"2022","unstructured":"Xu JC, Yang J, Ma Y, Qu K, Kang Y (2022) Feature selection method for color image steganalysis based on fuzzy neighborhood conditional entropy. Appl Intellig 52(8):9388\u20139405","journal-title":"Appl Intellig"},{"issue":"4","key":"1977_CR26","doi-asserted-by":"crossref","first-page":"492","DOI":"10.3390\/e22040492","volume":"22","author":"G Estrela","year":"2020","unstructured":"Estrela G, Gubitoso M, Ferreira C, Barrera J, Reis M (2020) An Efficient, parallelized algorithm for optimal conditional entropy-based feature selection. Entropy 22(4):492","journal-title":"Entropy"},{"key":"1977_CR27","volume":"194","author":"W Shu","year":"2020","unstructured":"Shu W, Qian W, Xie Y (2020) Incremental feature selection for dynamic hybrid data using neighborhood rough set. Knowledge Based Systems 194:105516","journal-title":"Knowledge Based Systems"},{"issue":"2","key":"1977_CR28","doi-asserted-by":"crossref","first-page":"1339","DOI":"10.1007\/s11063-020-10307-7","volume":"52","author":"X Wang","year":"2020","unstructured":"Wang X, Yan Y, Ma X (2020) Feature selection method based on differential correlation information entropy. Neur Process Lett 52(2):1339\u20131358","journal-title":"Neur Process Lett"},{"key":"1977_CR29","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2020.107517","volume":"107","author":"J Zhao","year":"2020","unstructured":"Zhao J, Liang J, Dong Z, Tang D, Liu Z (2020) Accelerating information entropy-based feature selection using rough set theory with classified nested equivalence classes. Pattern Recogn 107:107517","journal-title":"Pattern Recogn"},{"key":"1977_CR30","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/7111034","author":"Y Wu","year":"2022","unstructured":"Wu Y (2022) An information entropy embedding feature selection based on genetic algorithm. Secur Commun Networks. https:\/\/doi.org\/10.1155\/2022\/7111034","journal-title":"Secur Commun Networks"},{"issue":"8","key":"1977_CR31","doi-asserted-by":"crossref","first-page":"3663","DOI":"10.1007\/s00500-022-06838-x","volume":"26","author":"F Wang","year":"2022","unstructured":"Wang F, Wei W, Liang J (2022) A group incremental approach for feature selection on hybrid data. Soft Comput 26(8):3663\u20133677","journal-title":"Soft Comput"},{"key":"1977_CR32","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107398","volume":"231","author":"Z Yuan","year":"2021","unstructured":"Yuan Z, Chen H, Yang X, Li T, Liu K (2021) Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction. Knowl Based Syst 231:107398","journal-title":"Knowl Based Syst"},{"issue":"12","key":"1977_CR33","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1109\/TFUZZ.2010.2095461","volume":"19","author":"Y Qian","year":"2011","unstructured":"Qian Y, Liang J, Wu W, Dang C (2011) Information granularity in fuzzy binary GrC model. IEEE Trans Fuzzy Syst 19(12):253\u2013264","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1977_CR34","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108651","volume":"127","author":"Z Yuan","year":"2022","unstructured":"Yuan Z, Chen H, Li T (2022) Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data. Pattern Recogn 127:108651","journal-title":"Pattern Recogn"},{"key":"1977_CR35","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/j.ins.2022.01.037","volume":"591","author":"Y Huang","year":"2022","unstructured":"Huang Y, Guo K, Yi X, Li Z, Li T (2022) Matrix representation of the conditional entropy for incremental feature selection on multi-source data. Inform Sci 591:263\u2013286","journal-title":"Inform Sci"},{"key":"1977_CR36","volume":"109","author":"X Liu","year":"2021","unstructured":"Liu X, Dai J, Chen J, Zhang C (2021) A fuzzy alpha-similarity relation-based attribute reduction approach in incomplete interval-valued information systems. Appl Soft Comput 109:107593","journal-title":"Appl Soft Comput"},{"key":"1977_CR37","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/j.ins.2020.06.051","volume":"541","author":"B Sang","year":"2020","unstructured":"Sang B, Chen H, Li T, Xu W, Yu H (2020) Incremental approaches for heterogeneous feature selection in dynamic ordered data. Inform Sci 541:475\u2013501","journal-title":"Inform Sci"},{"key":"1977_CR38","volume":"186","author":"L Sun","year":"2019","unstructured":"Sun L, Wang L, Qian Y, Xu J, Zhang S (2019) Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems. Knowl Based Syst 186:104942","journal-title":"Knowl Based Syst"},{"issue":"10","key":"1977_CR39","doi-asserted-by":"crossref","first-page":"788","DOI":"10.3390\/e20100788","volume":"20","author":"X Zhang","year":"2018","unstructured":"Zhang X, Liu X, Yang Y (2018) A fast feature selection algorithm by accelerating computation of fuzzy rough set-based information entropy. Entropy 20(10):788","journal-title":"Entropy"},{"key":"1977_CR40","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2020.107517","volume":"107","author":"J Zhao","year":"2020","unstructured":"Zhao J, Liang J, Dong Z, Tang D, Liu Z (2020) Accelerating information entropy-based feature selection using rough set theory with classified nested equivalence classes. Pattern Recogn 107:107517","journal-title":"Pattern Recogn"},{"issue":"2","key":"1977_CR41","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1007\/s10489-019-01537-x","volume":"50","author":"K Zheng","year":"2020","unstructured":"Zheng K, Wang X, Wu B, Wu T (2020) Feature subset selection combining maximal information entropy and maximal information coefficient. Appl Intellig 50(2):487\u2013501","journal-title":"Appl Intellig"},{"key":"1977_CR42","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107398","volume":"231","author":"Z Yuan","year":"2021","unstructured":"Yuan Z, Chen H, Yang X, Li T, Liu K (2021) Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction. Knowl Based Syst 231:107398","journal-title":"Knowl Based Syst"},{"issue":"1\/4","key":"1977_CR43","doi-asserted-by":"crossref","first-page":"373","DOI":"10.3233\/FI-2015-1298","volume":"142","author":"J Yu","year":"2015","unstructured":"Yu J, Xu W (2015) Incremental computing approximations with the dynamic object set in interval-valued ordered information system. Fundamenta Informaticae 142(1\/4):373\u2013397","journal-title":"Fundamenta Informaticae"},{"key":"1977_CR44","volume":"10","author":"B Sang","year":"2021","unstructured":"Sang B, Chen H, Yang L, Li T, Luo C (2021) Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set. Knowl Based Syst 10:107223","journal-title":"Knowl Based Syst"},{"issue":"1","key":"1977_CR45","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.2991\/ijcis.d.210419.002","volume":"14","author":"F Li","year":"2021","unstructured":"Li F, Ren Y, Jin C (2021) Attribute Reduction method of covering rough set based on dependence degree. Int J Comput Intellig Syst 14(1):1419\u20131425","journal-title":"Int J Comput Intellig Syst"},{"key":"1977_CR46","volume":"111","author":"L Yang","year":"2021","unstructured":"Yang L, Qin K, Sang B, Xu W (2021) Dynamic fuzzy neighborhood rough set approach for interval-valued information systems with fuzzy decision. Appl Soft Comput 111:107679","journal-title":"Appl Soft Comput"},{"issue":"3","key":"1977_CR47","doi-asserted-by":"crossref","first-page":"1821","DOI":"10.1007\/s10462-021-10053-9","volume":"55","author":"W Li","year":"2021","unstructured":"Li W, Xu W, Zhang X, Zhang J (2021) Updating approximations with dynamic objects based on local multigranulation rough sets in ordered information systems. Artific Intellig Rev 55(3):1821\u20131855","journal-title":"Artific Intellig Rev"},{"issue":"5","key":"1977_CR48","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1109\/TFUZZ.2019.2959995","volume":"28","author":"X Zhang","year":"2020","unstructured":"Zhang X, Mei C, Chen D, Yang Y, Li J (2020) Active incremental feature selection using a fuzzy-rough-set-based information entropy. IEEE Trans Fuzzy Syst 28(5):901\u2013915","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1977_CR49","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ins.2021.10.058","volume":"584","author":"K Yuan","year":"2022","unstructured":"Yuan K, Xu W, Li W, Ding W (2022) An incremental learning mechanism for object classification based on progressive fuzzy three-way concept. Inform Sci 584:127\u2013147","journal-title":"Inform Sci"},{"key":"1977_CR50","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1016\/j.ins.2023.01.058","volume":"625","author":"X Zhang","year":"2023","unstructured":"Zhang X, Li J (2023) Incremental feature selection approach to interval-valued fuzzy decision information systems based on $$\\lambda -$$ fuzzy similarity self-information. Inform Sci 625:593\u2013619","journal-title":"Inform Sci"},{"key":"1977_CR51","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.inffus.2023.03.018","volume":"96","author":"Y Huang","year":"2023","unstructured":"Huang Y, Guo K, Yi X, Li Z, Li T (2023) Incremental unsupervised feature selection for dynamic incomplete multi-view data. Inform Fus 96:312\u2013327","journal-title":"Inform Fus"},{"issue":"1","key":"1977_CR52","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/s00500-019-04511-4","volume":"24","author":"D Chen","year":"2023","unstructured":"Chen D, Dong L, Mi J (2023) Incremental unsupervised feature selection for dynamic incomplete multi-view data. Soft Comput 24(1):321\u2013332","journal-title":"Soft Comput"},{"key":"1977_CR53","volume":"252","author":"C Luo","year":"2022","unstructured":"Luo C, Li T, Chen H, Lv J, Yi Z (2022) Fusing entropy measures for dynamic feature selection in incomplete approximation spaces. Knowl Based Syst 252:109329","journal-title":"Knowl Based Syst"},{"key":"1977_CR54","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2019.06.037","volume":"187","author":"Q Huang","year":"2020","unstructured":"Huang Q, Li T, Huang Y, Yang X, Fujita H (2020) Dynamic dominance rough set approach for processing composite ordered data. Knowl Based Syst 187:104829","journal-title":"Knowl Based Syst"},{"key":"1977_CR55","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.knosys.2017.05.015","volume":"130","author":"C Hu","year":"2017","unstructured":"Hu C, Liu S, Huang X (2017) Dynamic updating approximations in multigranulation rough sets while refining or coarsening attribute values. Knowl Based Syst 130:62\u201373","journal-title":"Knowl Based Syst"},{"issue":"4","key":"1977_CR56","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1007\/s13042-020-01219-y","volume":"12","author":"Y Xu","year":"2021","unstructured":"Xu Y, Wang Q, Sun W (2021) Matrix-based incremental updating approximations in multigranulation rough set under two-dimensional variation. Int J Mach Learn Cybernet 12(4):1041\u20131065","journal-title":"Int J Mach Learn Cybernet"},{"key":"1977_CR57","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.ins.2020.03.097","volume":"530","author":"Y Huang","year":"2020","unstructured":"Huang Y, Li T, Luo C, Fujita H, Horng S, Wang B (2020) Dynamic maintenance of rough approximations in multi-source hybrid information systems. Inform Sci 530:108\u2013127","journal-title":"Inform Sci"},{"issue":"3","key":"1977_CR58","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1007\/s10115-019-01377-8","volume":"62","author":"B Lin","year":"2020","unstructured":"Lin B, Zhang X, Xu W, Wu Y (2020) Dynamically updating approximations based on multi-threshold tolerance relation in incomplete interval-valued decision information systems. Knowl Inform Syst 62(3):1063\u20131087","journal-title":"Knowl Inform Syst"},{"key":"1977_CR59","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/j.ins.2016.09.018","volume":"373","author":"Y Zhang","year":"2016","unstructured":"Zhang Y, Li T, Luo C, Zhang J, Chen H (2016) Incremental updating of rough approximations in interval-valued information systems under attribute generalization. Inform Sci 373:461\u2013475","journal-title":"Inform Sci"},{"key":"1977_CR60","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.asoc.2017.06.009","volume":"60","author":"J Yu","year":"2017","unstructured":"Yu J, Chen M, Xu W (2017) Dynamic computing rough approximations approach to time-evolving information granule interval-valued ordered information system. Appl Soft Comput 60:18\u201329","journal-title":"Appl Soft Comput"},{"issue":"3","key":"1977_CR61","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1007\/s13042-015-0473-z","volume":"8","author":"J Yu","year":"2017","unstructured":"Yu J, Xu W (2017) Incremental knowledge discovering in interval-valued decision information system with the dynamic data. Int J Mach Learn Cybernet 8(3):849\u2013864","journal-title":"Int J Mach Learn Cybernet"},{"issue":"3","key":"1977_CR62","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1007\/s10115-019-01377-8","volume":"62","author":"B Lin","year":"2020","unstructured":"Lin B, Zhang X, Xu W, Wu Y (2020) Dynamically updating approximations based on multi-threshold tolerance relation in incomplete interval-valued decision information systems. Knowl Based Syst 62(3):1063\u20131087","journal-title":"Knowl Based Syst"},{"key":"1977_CR63","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3193929","author":"P Zhang","year":"2022","unstructured":"Zhang P, Li T, Yuan Z, Luo C, Liu K, Yang X (2022) Heterogeneous feature selection based on neighborhood combination entropy. Trans Neural Networks Learn Syst. https:\/\/doi.org\/10.1109\/TNNLS.2022.3193929","journal-title":"Trans Neural Networks Learn Syst"},{"key":"1977_CR64","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.ins.2018.08.047","volume":"470","author":"N Xie","year":"2019","unstructured":"Xie N, Liu M, Li Z, Zhang G (2019) New measures of uncertainty for an interval-valued information system. Inform Sci 470:156\u2013174","journal-title":"Inform Sci"},{"issue":"1","key":"1977_CR65","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/TETCI.2022.3171784","volume":"7","author":"W Xu","year":"2023","unstructured":"Xu W, Yuan K, Li W, Ding W (2023) An emerging fuzzy feature selection method using composite entropy-based uncertainty measure and data distribution. IEEE Trans Emerg Topics Comput Intellig 7(1):76\u201388","journal-title":"IEEE Trans Emerg Topics Comput Intellig"},{"issue":"3","key":"1977_CR66","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1109\/TBDATA.2022.3215494","volume":"9","author":"W Xu","year":"2023","unstructured":"Xu W, Pan Y, Chen X, Ding W, Qian Y (2023) A novel dynamic fusion approach using information entropy for interval-valued ordered datasets. IEEE Trans Big Data 9(3):845\u2013859","journal-title":"IEEE Trans Big Data"},{"key":"1977_CR67","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1016\/j.ins.2022.06.022","volume":"607","author":"D Guo","year":"2022","unstructured":"Guo D, Jiang C, Sheng R, Liu S (2022) A novel outcome evaluation model of three-way decision: a change viewpoint. Inform Sci 607:1089\u20131110","journal-title":"Inform Sci"},{"key":"1977_CR68","unstructured":"UCI Machine learning repository, http:\/\/archive.ics.uci.edu\/ml"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-01977-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-023-01977-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-01977-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T17:23:23Z","timestamp":1710091403000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-023-01977-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,24]]},"references-count":68,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["1977"],"URL":"https:\/\/doi.org\/10.1007\/s13042-023-01977-5","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,24]]},"assertion":[{"value":"28 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 October 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}