{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T04:35:47Z","timestamp":1784608547278,"version":"3.55.0"},"reference-count":48,"publisher":"Elsevier BV","issue":"6","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\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFB3305500"],"award-info":[{"award-number":["2022YFB3305500"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273089"],"award-info":[{"award-number":["62273089"]}],"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":["62406079"],"award-info":[{"award-number":["62406079"]}],"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":["72271063"],"award-info":[{"award-number":["72271063"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Processing & Management"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.ipm.2026.104775","type":"journal-article","created":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T09:46:33Z","timestamp":1774777593000},"page":"104775","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"title":["Uncertainty-aware significance and interaction-enhanced feature selection: A fuzzy multi-granularity information perspective"],"prefix":"10.1016","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9551-1844","authenticated-orcid":false,"given":"Jihong","family":"Wan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3201-0038","authenticated-orcid":false,"given":"Xiaoping","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1920-3883","authenticated-orcid":false,"given":"Zhihong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3315-4447","authenticated-orcid":false,"given":"Jie","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"22","key":"10.1016\/j.ipm.2026.104775_bib0001","doi-asserted-by":"crossref","first-page":"8520","DOI":"10.1016\/j.eswa.2015.07.007","article-title":"Feature selection using joint mutual information maximisation","volume":"42","author":"Bennasar","year":"2015","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104775_bib0002","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.ins.2017.05.013","article-title":"Maximum relevance minimum common redundancy feature selection for nonlinear data","volume":"409\u2013410","author":"Che","year":"2017","journal-title":"Information Sciences"},{"issue":"8","key":"10.1016\/j.ipm.2026.104775_bib0003","doi-asserted-by":"crossref","first-page":"15085","DOI":"10.1109\/TNNLS.2025.3548165","article-title":"A novel fusion and feature selection framework for multisource time-series data based on information entropy","volume":"36","author":"Chen","year":"2025","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.ipm.2026.104775_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119753","article-title":"Feature selection based on fuzzy combination entropy considering global and local feature correlation","volume":"652","author":"Dai","year":"2024","journal-title":"Information Sciences"},{"key":"10.1016\/j.ipm.2026.104775_bib0005","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.asoc.2012.07.029","article-title":"Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification","volume":"13","author":"Dai","year":"2013","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.ipm.2026.104775_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113812","article-title":"Decision analytics for indian culinary tourism: A holistic group approach considering correlation","volume":"185","author":"Debnath","year":"2025","journal-title":"Applied Soft Computing Journal"},{"issue":"27","key":"10.1016\/j.ipm.2026.104775_bib0007","first-page":"1","article-title":"Integrated MADM approach based on extended MABAC method with aczel-alsina generalized weighted bonferroni mean operator","volume":"58","author":"Debnath","year":"2025","journal-title":"Artificial Intelligence Review"},{"key":"10.1016\/j.ipm.2026.104775_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.111817","article-title":"A decision-making model with new dice-jaccard similarity measure: Green hydrogen electrolyzer selection","volume":"160","author":"Debnath","year":"2025","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"6","key":"10.1016\/j.ipm.2026.104775_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104234","article-title":"Feature selection based on fuzzy joint entropy and feature interaction for label distribution learning","volume":"62","author":"Deng","year":"2025","journal-title":"Information Processing and Management"},{"issue":"8","key":"10.1016\/j.ipm.2026.104775_bib0010","doi-asserted-by":"crossref","first-page":"4436","DOI":"10.1109\/TFUZZ.2024.3399617","article-title":"Feature selection for handling label ambiguity using weighted label-fuzzy relevancy and redundancy","volume":"32","author":"Deng","year":"2024","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"10.1016\/j.ipm.2026.104775_bib0011","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.patcog.2018.02.020","article-title":"Class-specific mutual information variation for feature selection","volume":"79","author":"Gao","year":"2018","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.ipm.2026.104775_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113918","article-title":"An MADM model using frank operations based power aggregation operator under p, q-quasirung orthopair fuzzy sets for highway selection in war-plane landing","volume":"185","author":"Giri","year":"2025","journal-title":"Applied Soft Computing Journal"},{"key":"10.1016\/j.ipm.2026.104775_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.107865","article-title":"A new filter feature selection algorithm for classification task by ensembling pearson correlation coefficient and mutual information","volume":"131","author":"Gong","year":"2024","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.ipm.2026.104775_bib0014","doi-asserted-by":"crossref","first-page":"3509","DOI":"10.1016\/j.patcog.2007.03.017","article-title":"Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation","volume":"40","author":"Hu","year":"2007","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.ipm.2026.104775_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121908","article-title":"Covering based multi-granulation rough fuzzy sets with applications to feature selection","volume":"238","author":"Huang","year":"2024","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104775_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123633","article-title":"Feature selection for classification with spearman\u2019s rank correlation coefficient-based self-information in divergence-based fuzzy rough sets","volume":"249","author":"Jiang","year":"2024","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104775_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2020.103667","article-title":"A new feature selection algorithm based on relevance, redundancy and complementarity","volume":"119","author":"Li","year":"2020","journal-title":"Computers in Biology and Medicine"},{"key":"10.1016\/j.ipm.2026.104775_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiolchem.2019.107149","article-title":"A new feature selection method based on symmetrical uncertainty and interaction gain","volume":"83","author":"Lin","year":"2019","journal-title":"Computational Biology and Chemistry"},{"issue":"1","key":"10.1016\/j.ipm.2026.104775_bib0019","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/TFUZZ.2022.3182441","article-title":"Fuzzy mutual information-based multilabel feature selection with label dependency and streaming labels","volume":"31","author":"Liu","year":"2023","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"3","key":"10.1016\/j.ipm.2026.104775_bib0020","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1109\/TSMCB.2009.2028433","article-title":"Fuzzy-rough sets for information measures and selection of relevant genes from microarray data","volume":"40","author":"Maji","year":"2010","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics"},{"key":"10.1016\/j.ipm.2026.104775_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2021.107729","article-title":"An efficient feature selection framework based on information theory for high dimensional data","volume":"111","author":"Manikandan","year":"2021","journal-title":"Applied Soft Computing"},{"issue":"8","key":"10.1016\/j.ipm.2026.104775_bib0022","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\u00cd\u0107in","year":"2020","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"10.1016\/j.ipm.2026.104775_bib0023","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/BF01001956","article-title":"Rough sets","volume":"11","author":"Pawlak","year":"1982","journal-title":"International Journal of Computer and Information Sciences"},{"key":"10.1016\/j.ipm.2026.104775_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110980","article-title":"Research on multi-granularity sequential three-way decisions based on the fuzzy t-equivalence relation","volume":"149","author":"Qian","year":"2023","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.ipm.2026.104775_bib0025","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.ijar.2021.01.003","article-title":"Feature selection and threshold method based on fuzzy joint mutual information","volume":"132","author":"Salem","year":"2021","journal-title":"International Journal of Approximate Reasoning"},{"key":"10.1016\/j.ipm.2026.104775_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111577","article-title":"AFIFC: Adaptive fuzzy neighborhood mutual information-based feature selection via label correlation","volume":"164","author":"Sun","year":"2025","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.ipm.2026.104775_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108603","article-title":"R2CI: Information theoretic-guided feature selection with multiple correlations","volume":"127","author":"Wan","year":"2022","journal-title":"Pattern Recognition"},{"issue":"2","key":"10.1016\/j.ipm.2026.104775_bib0028","doi-asserted-by":"crossref","first-page":"1208","DOI":"10.1109\/TCYB.2021.3112203","article-title":"Interactive and complementary feature selection via fuzzy multigranularity uncertainty measures","volume":"53","author":"Wan","year":"2023","journal-title":"IEEE Transactions on Cybernetics"},{"key":"10.1016\/j.ipm.2026.104775_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113913","article-title":"Heterogeneous feature selection with group structure mining in fuzzy decision systems for medical diagnosis","volume":"185","author":"Wan","year":"2025","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.ipm.2026.104775_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2025.103101","article-title":"FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration","volume":"120","author":"Wan","year":"2025","journal-title":"Information Fusion"},{"key":"10.1016\/j.ipm.2026.104775_bib0031","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.ins.2020.11.021","article-title":"Attribute reduction with fuzzy rough self-information measures","volume":"549","author":"Wang","year":"2021","journal-title":"Information Sciences"},{"key":"10.1016\/j.ipm.2026.104775_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115365","article-title":"A feature selection method via analysis of relevance, redundancy, and interaction","volume":"183","author":"Wang","year":"2021","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"10.1016\/j.ipm.2026.104775_bib0033","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1109\/TCYB.2021.3139898","article-title":"Feature selection with maximal relevance and minimal supervised redundancy","volume":"53","author":"Wang","year":"2023","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"5","key":"10.1016\/j.ipm.2026.104775_bib0034","doi-asserted-by":"crossref","first-page":"3913","DOI":"10.1109\/TII.2025.3534417","article-title":"Robust feature selection by removing noise entropy within mutual information for limited-sample industrial data","volume":"21","author":"Xu","year":"2025","journal-title":"IEEE Transactions on Industrial Informatics"},{"issue":"217","key":"10.1016\/j.ipm.2026.104775_bib0035","first-page":"1","article-title":"An attribute reduction algorithm using relative decision mutual information in fuzzy neighborhood decision system","volume":"55","author":"Xu","year":"2025","journal-title":"Applied Intelligence"},{"issue":"8","key":"10.1016\/j.ipm.2026.104775_bib0036","doi-asserted-by":"crossref","first-page":"15436","DOI":"10.1109\/TNNLS.2025.3540014","article-title":"Conditional mutual information constrained deep learning for classification","volume":"36","author":"Yang","year":"2025","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"3","key":"10.1016\/j.ipm.2026.104775_bib0037","doi-asserted-by":"crossref","first-page":"2679","DOI":"10.1109\/TII.2024.3514152","article-title":"Unbalanced incomplete multiview unsupervised feature selection with low-redundancy constraint in low-dimensional space","volume":"21","author":"Yang","year":"2025","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"10.1016\/j.ipm.2026.104775_bib0038","doi-asserted-by":"crossref","DOI":"10.1016\/j.fss.2025.109499","article-title":"Adaptive feature selection with weighted fuzzy rough sets for noisy data","volume":"518","author":"Yang","year":"2025","journal-title":"Fuzzy Sets and Systems"},{"key":"10.1016\/j.ipm.2026.104775_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.fss.2025.109600","article-title":"Rational linear kernelized weighted fuzzy rough attribute selection with class separability","volume":"521","author":"Yang","year":"2025","journal-title":"Fuzzy Sets and Systems"},{"key":"10.1016\/j.ipm.2026.104775_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.102150","article-title":"Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy \u03b2 covering space","volume":"104","author":"Yin","year":"2024","journal-title":"Information Fusion"},{"issue":"4","key":"10.1016\/j.ipm.2026.104775_bib0041","doi-asserted-by":"crossref","first-page":"2246","DOI":"10.1109\/TFUZZ.2023.3347757","article-title":"Feature selection using zentropy-based uncertainty measure","volume":"32","author":"Yuan","year":"2024","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"10.1016\/j.ipm.2026.104775_bib0042","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","article-title":"Fuzzy sets","volume":"8","author":"Zedeh","year":"1965","journal-title":"Information and Control"},{"key":"10.1016\/j.ipm.2026.104775_bib0043","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2021.104481","article-title":"A conditional-weight joint relevance metric for feature relevancy term","volume":"106","author":"Zhang","year":"2021","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"5","key":"10.1016\/j.ipm.2026.104775_bib0044","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104173","article-title":"I2QD: Unsupervised feature selection via information quality, quantity, and difference degree","volume":"62","author":"Zhang","year":"2025","journal-title":"Information Processing and Management"},{"key":"10.1016\/j.ipm.2026.104775_bib0045","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.patcog.2016.02.013","article-title":"Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy","volume":"56","author":"Zhang","year":"2016","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.ipm.2026.104775_bib0046","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113154","article-title":"Feature selection via class-specific approximate markov blanket and rough set-based mapping","volume":"176","author":"Zhao","year":"2025","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.ipm.2026.104775_bib0047","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117923","article-title":"A feature selection method via relevant-redundant weight","volume":"207","author":"Zhao","year":"2022","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104775_bib0048","first-page":"1","article-title":"Unified feature selection approach for complex data based on fuzzy \u03b2-covering reduction via information granulation","author":"Zou","year":"2025","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"}],"container-title":["Information Processing & Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326001664?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326001664?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T20:55:35Z","timestamp":1779483335000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306457326001664"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":48,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["S0306457326001664"],"URL":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104775","relation":{},"ISSN":["0306-4573"],"issn-type":[{"value":"0306-4573","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Uncertainty-aware significance and interaction-enhanced feature selection: A fuzzy multi-granularity information perspective","name":"articletitle","label":"Article Title"},{"value":"Information Processing & Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104775","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104775"}}