{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T07:22:17Z","timestamp":1783149737288,"version":"3.54.6"},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12571506"],"award-info":[{"award-number":["12571506"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Approximate Reasoning"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.ijar.2026.109706","type":"journal-article","created":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T11:30:44Z","timestamp":1777548644000},"page":"109706","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A framework for attribute reduction of dynamically increasing datasets derived from 0-overlap functions"],"prefix":"10.1016","volume":"196","author":[{"given":"Zhe","family":"Deng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1854-9256","authenticated-orcid":false,"given":"Junsheng","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liting","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ijar.2026.109706_bib0001","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","article-title":"Fuzzy sets","volume":"8","author":"Zadeh","year":"1965","journal-title":"Inf. Control"},{"key":"10.1016\/j.ijar.2026.109706_bib0002","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/BF01001956","article-title":"Rough sets","volume":"11","author":"Pawlak","year":"1982","journal-title":"Int. J. Comput. Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0003","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1080\/03081079008935107","article-title":"Rough fuzzy sets and fuzzy rough sets","volume":"17","author":"Dubois","year":"1990","journal-title":"Int. J. Gen. Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0004","doi-asserted-by":"crossref","first-page":"1840","DOI":"10.1109\/TFUZZ.2019.2921935","article-title":"Fuzzy-rough set bireducts for data reduction","volume":"28","author":"Parthal\u00e1in","year":"2019","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0005","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1109\/TFUZZ.2020.2989098","article-title":"Feature selection using fuzzy neighborhood entropy-based uncertainty measures for fuzzy neighborhood multigranulation rough sets","volume":"29","author":"Sun","year":"2020","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107308","article-title":"Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation","volume":"229","author":"Mokhtia","year":"2021","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0007","doi-asserted-by":"crossref","first-page":"1614","DOI":"10.1109\/TFUZZ.2022.3206508","article-title":"Feature selection with local density-based fuzzy rough set model for noisy data","volume":"31","author":"Yang","year":"2023","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119368","article-title":"A bi-variable precision rough set model and its application to attribute reduction","volume":"645","author":"Yu","year":"2023","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijar.2024.109256","article-title":"Attribute reduction with fuzzy divergence-based weighted neighborhood rough sets","volume":"173","author":"Thuy","year":"2024","journal-title":"Int. J. Approx. Reason."},{"key":"10.1016\/j.ijar.2026.109706_bib0010","doi-asserted-by":"crossref","first-page":"4027","DOI":"10.1109\/TFUZZ.2024.3387571","article-title":"Feature selection based on weighted fuzzy rough sets","volume":"32","author":"Wang","year":"2024","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.fss.2025.109314","article-title":"A fuzzy \u03b2-covering rough set model for attribute reduction by composite measure","volume":"507","author":"Zou","year":"2025","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.105516","article-title":"Incremental feature selection for dynamic hybrid data using neighborhood rough set","volume":"194","author":"Shu","year":"2020","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0013","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1109\/TKDE.2020.2997039","article-title":"GBNRS: a novel rough set algorithm for fast adaptive attribute reduction in classification","volume":"34","author":"Xia","year":"2022","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.ijar.2026.109706_bib0014","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.ijar.2021.09.006","article-title":"Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing","volume":"139","author":"Kumar","year":"2021","journal-title":"Int. J. Approx. Reason."},{"key":"10.1016\/j.ijar.2026.109706_bib0015","doi-asserted-by":"crossref","first-page":"1683","DOI":"10.1109\/TFUZZ.2021.3064686","article-title":"Incremental feature selection using a conditional entropy based on fuzzy dominance neighborhood rough sets","volume":"30","author":"Sang","year":"2022","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0016","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1016\/j.ins.2022.08.044","article-title":"Parallel incremental efficient attribute reduction algorithm based on attribute tree","volume":"610","author":"Ding","year":"2022","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.fss.2023.03.006","article-title":"Incremental feature selection with fuzzy rough sets for dynamic data sets","volume":"467","author":"Dong","year":"2023","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0018","doi-asserted-by":"crossref","first-page":"3721","DOI":"10.1109\/TFUZZ.2023.3300913","article-title":"Fuzzy rough sets-based incremental feature selection for hierarchical classification","volume":"31","author":"Huang","year":"2023","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0019","doi-asserted-by":"crossref","first-page":"7724","DOI":"10.1109\/TKDE.2022.3220200","article-title":"An efficient and accurate rough set for feature selection, classification, and knowledge representation","volume":"35","author":"Xia","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.ijar.2026.109706_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110652","article-title":"Consistency approximation: incremental feature selection based on fuzzy rough set theory","volume":"155","author":"Zhao","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.ijar.2026.109706_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.121219","article-title":"Matrix-based incremental feature selection method using weight-partitioned multigranulation rough set","volume":"681","author":"Xu","year":"2024","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111141","article-title":"Incremental feature selection: parallel approach with local neighborhood rough sets and composite entropy","volume":"159","author":"Xu","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.ijar.2026.109706_bib0023","doi-asserted-by":"crossref","first-page":"1488","DOI":"10.1016\/j.na.2009.08.033","article-title":"Overlap functions","volume":"72","author":"Bustince","year":"2010","journal-title":"Nonlinear Anal. Theory Methods Appl."},{"key":"10.1016\/j.ijar.2026.109706_bib0024","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.fss.2014.11.023","article-title":"N-dimensional overlap functions","volume":"287","author":"G\u00f3mez","year":"2016","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0025","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.fss.2018.08.003","article-title":"General overlap functions","volume":"372","author":"De Miguel","year":"2019","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0026","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.ins.2021.02.010","article-title":"Lattice-valued overlap and quasi-overlap functions","volume":"562","author":"Paiva","year":"2021","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0027","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.ins.2022.10.017","article-title":"Semi-overlap functions and novel fuzzy reasoning algorithms with applications","volume":"614","author":"Zhang","year":"2022","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0028","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.fss.2017.03.007","article-title":"On interval additive generators of interval overlap functions and interval grouping functions","volume":"323","author":"Qiao","year":"2017","journal-title":"Fuzzy Sets Syst."},{"issue":"8","key":"10.1016\/j.ijar.2026.109706_bib0029","doi-asserted-by":"crossref","first-page":"7944","DOI":"10.1109\/TCYB.2021.3073210","article-title":"Motor-imagery-based brain\u2013computer interface using signal derivation and aggregation functions","volume":"52","author":"Fumanal-Idocin","year":"2021","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.ijar.2026.109706_bib0030","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.neucom.2022.05.080","article-title":"Constructing multi-layer classifier ensembles using the choquet integral based on overlap and quasi-overlap functions","volume":"500","author":"Batista","year":"2022","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ijar.2026.109706_bib0031","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1016\/j.ins.2022.12.005","article-title":"The aggregation of Z-numbers based on overlap functions and grouping functions and its application on group decision-making","volume":"623","author":"Qi","year":"2023","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.120451","article-title":"Variable precision fuzzy rough sets based on overlap functions with application to tumor classification","volume":"666","author":"Zhang","year":"2024","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0033","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.ijar.2021.02.001","article-title":"On (IO, O)-fuzzy rough sets based on overlap functions","volume":"132","author":"Qiao","year":"2021","journal-title":"Int. J. Approx. Reason."},{"key":"10.1016\/j.ijar.2026.109706_bib0034","series-title":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems","first-page":"599","article-title":"Fuzzy decision tables: extending the classical formalism to enhance intelligent decision making","volume":"2","author":"Chen","year":"1995"},{"key":"10.1016\/j.ijar.2026.109706_bib0035","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.fss.2016.08.001","article-title":"Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving","volume":"312","author":"Yang","year":"2017","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0036","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.ins.2015.03.049","article-title":"On residual implications derived from overlap functions","volume":"312","author":"Dimuro","year":"2015","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0037","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/S0165-0114(02)00214-2","article-title":"Automorphisms, negations and implication operators","volume":"134","author":"Bustince","year":"2003","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0038","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/0165-0114(89)90077-8","article-title":"Fuzzy equivalence relations","volume":"30","author":"Murali","year":"1989","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0039","doi-asserted-by":"crossref","first-page":"1796","DOI":"10.1109\/TFUZZ.2023.3335108","article-title":"(I, O)-fuzzy rough sets based on overlap functions with their applications to feature selection and image edge extraction","volume":"32","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0040","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1109\/TFUZZ.2011.2173695","article-title":"A novel algorithm for finding reducts with fuzzy rough sets","volume":"20","author":"Chen","year":"2012","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"3","key":"10.1016\/j.ijar.2026.109706_bib0041","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1109\/TFUZZ.2004.841734","article-title":"On the generalization of fuzzy rough sets","volume":"13","author":"Yeung","year":"2005","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0042","doi-asserted-by":"crossref","first-page":"1871","DOI":"10.1016\/j.fss.2009.12.010","article-title":"Local reduction of decision system with fuzzy rough sets","volume":"161","author":"Chen","year":"2010","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0043","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1109\/TFUZZ.2017.2718492","article-title":"Incremental perspective for feature selection based on fuzzy rough sets","volume":"26","author":"Yang","year":"2017","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0044","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1109\/TFUZZ.2019.2959995","article-title":"Active incremental feature selection using a fuzzy-rough-set-based information entropy","volume":"28","author":"Zhang","year":"2019","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.ijar.2026.109706_bib0045","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.ins.2022.04.026","article-title":"A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data","volume":"601","author":"Yang","year":"2022","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ijar.2026.109706_bib0046","series-title":"Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition","author":"Stork","year":"2004"},{"key":"10.1016\/j.ijar.2026.109706_bib0047","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1214\/aoms\/1177731944","article-title":"A comparison of alternative tests of significance for the problem of rankings","volume":"11","author":"Friedman","year":"1940","journal-title":"Ann. Math. Stat."},{"key":"10.1016\/j.ijar.2026.109706_bib0048","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"Dem\u0161ar","year":"2006","journal-title":"J. Mach. Learn. Res."}],"container-title":["International Journal of Approximate Reasoning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0888613X26000824?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0888613X26000824?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T07:12:08Z","timestamp":1783149128000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0888613X26000824"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":48,"alternative-id":["S0888613X26000824"],"URL":"https:\/\/doi.org\/10.1016\/j.ijar.2026.109706","relation":{},"ISSN":["0888-613X"],"issn-type":[{"value":"0888-613X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A framework for attribute reduction of dynamically increasing datasets derived from 0-overlap functions","name":"articletitle","label":"Article Title"},{"value":"International Journal of Approximate Reasoning","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ijar.2026.109706","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"109706"}}