{"id":"https://openalex.org/W4406671115","doi":"https://doi.org/10.3390/e27010094","title":"Novel Ensemble Approach with Incremental Information Level and Improved Evidence Theory for Attribute Reduction","display_name":"Novel Ensemble Approach with Incremental Information Level and Improved Evidence Theory for Attribute Reduction","publication_year":2025,"publication_date":"2025-01-20","ids":{"openalex":"https://openalex.org/W4406671115","doi":"https://doi.org/10.3390/e27010094","pmid":"https://pubmed.ncbi.nlm.nih.gov/39851714"},"language":"en","primary_location":{"id":"doi:10.3390/e27010094","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27010094","pdf_url":"https://www.mdpi.com/1099-4300/27/1/94/pdf?version=1737366090","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/27/1/94/pdf?version=1737366090","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100783073","display_name":"Peng Yu","orcid":"https://orcid.org/0000-0002-0402-5390"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yu","raw_affiliation_strings":["Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","School of Computer Science, Minnan Normal University, Zhangzhou 363000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, Minnan Normal University, Zhangzhou 363000, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017426295","display_name":"Yifeng Zheng","orcid":"https://orcid.org/0000-0001-9884-2481"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Zheng","raw_affiliation_strings":["Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","School of Computer Science, Minnan Normal University, Zhangzhou 363000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, Minnan Normal University, Zhangzhou 363000, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724388","display_name":"Zi-Wen Liu","orcid":"https://orcid.org/0000-0002-3402-9763"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwen Liu","raw_affiliation_strings":["Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","School of Computer Science, Minnan Normal University, Zhangzhou 363000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, Minnan Normal University, Zhangzhou 363000, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012411603","display_name":"Baoya Wei","orcid":"https://orcid.org/0009-0007-6600-7933"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baoya Wei","raw_affiliation_strings":["Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","School of Computer Science, Minnan Normal University, Zhangzhou 363000, China"],"raw_orcid":"https://orcid.org/0009-0007-6600-7933","affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, Minnan Normal University, Zhangzhou 363000, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385513","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0002-7470-3011"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","School of Computer Science, Minnan Normal University, Zhangzhou 363000, China"],"raw_orcid":"https://orcid.org/0000-0002-7470-3011","affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, Minnan Normal University, Zhangzhou 363000, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079981540","display_name":"Ziqiong Lin","orcid":"https://orcid.org/0009-0004-2779-6990"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqiong Lin","raw_affiliation_strings":["Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","School of Computer Science, Minnan Normal University, Zhangzhou 363000, China"],"raw_orcid":"https://orcid.org/0009-0004-2779-6990","affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, Minnan Normal University, Zhangzhou 363000, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102737283","display_name":"Z. B. Li","orcid":"https://orcid.org/0000-0003-1634-0002"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Minnan Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhehan Li","raw_affiliation_strings":["Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","School of Computer Science, Minnan Normal University, Zhangzhou 363000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou 363000, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science, Minnan Normal University, Zhangzhou 363000, China","institution_ids":["https://openalex.org/I9356336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012411603"],"corresponding_institution_ids":["https://openalex.org/I9356336"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.4913,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81652014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"27","issue":"1","first_page":"94","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6940044164657593},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6501191854476929},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6355007886886597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5828428268432617},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.450805127620697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39042866230010986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3672942519187927},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3212796747684479},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0857013463973999}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6940044164657593},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6501191854476929},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6355007886886597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828428268432617},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.450805127620697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39042866230010986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3672942519187927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3212796747684479},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0857013463973999},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e27010094","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27010094","pdf_url":"https://www.mdpi.com/1099-4300/27/1/94/pdf?version=1737366090","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:39851714","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39851714","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11764816","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11764816","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11764816/pdf/entropy-27-00094.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:80cae097b2fc44429a5780d0bf6c5e64","is_oa":true,"landing_page_url":"https://doaj.org/article/80cae097b2fc44429a5780d0bf6c5e64","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 27, Iss 1, p 94 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e27010094","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27010094","pdf_url":"https://www.mdpi.com/1099-4300/27/1/94/pdf?version=1737366090","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406671115.pdf","grobid_xml":"https://content.openalex.org/works/W4406671115.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W2001692054","https://openalex.org/W2027654459","https://openalex.org/W2029307344","https://openalex.org/W2079680557","https://openalex.org/W2156571267","https://openalex.org/W2158633287","https://openalex.org/W2182029627","https://openalex.org/W2596678650","https://openalex.org/W2956917852","https://openalex.org/W3029713334","https://openalex.org/W3195406048","https://openalex.org/W3202724793","https://openalex.org/W4210290944","https://openalex.org/W4255833381","https://openalex.org/W4285196514","https://openalex.org/W4295735815","https://openalex.org/W4295872248","https://openalex.org/W4315573471","https://openalex.org/W4360979687","https://openalex.org/W4386322182","https://openalex.org/W4387377631","https://openalex.org/W4389925197","https://openalex.org/W4392157447","https://openalex.org/W4403147678","https://openalex.org/W6682904970","https://openalex.org/W6686032067","https://openalex.org/W6758972637"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2494338568","https://openalex.org/W2053286651","https://openalex.org/W1495042958","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2352590024"],"abstract_inverted_index":{"With":[0],"the":[1,18,36,44,48,71,151],"development":[2],"of":[3,114],"intelligent":[4],"technology,":[5],"data":[6],"in":[7,13],"practical":[8],"applications":[9],"show":[10,139],"exponential":[11],"growth":[12],"quantity":[14],"and":[15,40,62,84,92,109,155],"scale.":[16],"Extracting":[17],"most":[19,111],"distinguished":[20],"attributes":[21,39,79],"from":[22],"complex":[23],"datasets":[24,126],"becomes":[25],"a":[26,110],"crucial":[27],"problem.":[28],"The":[29,137],"existing":[30],"attribute":[31,67,147],"reduction":[32,68,75,82,94,101],"approaches":[33],"focus":[34],"on":[35,57,81,124],"correlation":[37],"between":[38],"labels":[41],"without":[42],"considering":[43],"redundancy.":[45],"To":[46],"address":[47],"above":[49],"problem,":[50],"we":[51],"propose":[52],"an":[53,58,88,105],"ensemble":[54],"approach":[55],"based":[56,80],"incremental":[59,72,152],"information":[60,73,153],"level":[61,74,154],"improved":[63,89,156],"evidence":[64,90,157],"theory":[65,91],"for":[66],"(IILE).":[69],"Firstly,":[70],"measure":[76],"comprehensively":[77],"assesses":[78],"capability":[83],"redundancy":[85],"level.":[86],"Then,":[87],"approximate":[93],"methods":[95],"are":[96,122],"employed":[97],"to":[98,127],"fuse":[99],"multiple":[100],"results,":[102],"thereby":[103],"obtaining":[104],"approximately":[106],"globally":[107],"optimal":[108],"representative":[112],"subset":[113],"attributes.":[115],"Eventually,":[116],"using":[117,150],"different":[118],"metrics,":[119],"experimental":[120],"comparisons":[121],"performed":[123],"eight":[125],"confirm":[128],"that":[129,140],"our":[130,141],"proposal":[131,142],"achieved":[132],"better":[133],"than":[134],"other":[135],"methods.":[136],"results":[138],"can":[143],"obtain":[144],"more":[145],"relevant":[146],"sets":[148],"by":[149],"theory.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}