{"id":"https://openalex.org/W2895646357","doi":"https://doi.org/10.1109/tetci.2018.2869919","title":"Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree","display_name":"Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree","publication_year":2018,"publication_date":"2018-10-02","ids":{"openalex":"https://openalex.org/W2895646357","doi":"https://doi.org/10.1109/tetci.2018.2869919","mag":"2895646357"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2018.2869919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2018.2869919","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://nottingham-repository.worktribe.com/output/1174782","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Computer Science and Technology, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075541426","display_name":"Isaac Triguero","orcid":"https://orcid.org/0000-0002-0150-0651"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Isaac Triguero","raw_affiliation_strings":["School of Computer Science, University of Nottingham, Nottingham, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-0150-0651","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058936239","display_name":"Chin\u2010Teng Lin","orcid":"https://orcid.org/0000-0001-8371-8197"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chin-Teng Lin","raw_affiliation_strings":["Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8371-8197","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4121,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.65762901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"5","issue":"1","first_page":"130","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9987999796867371,"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":0.9987999796867371,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9438999891281128,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9034000039100647,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/data-mining","display_name":"Data mining","score":0.6145123839378357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5715734958648682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45893594622612},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4503832459449768},{"id":"https://openalex.org/keywords/attribute-domain","display_name":"Attribute domain","score":0.44726768136024475},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.4429607391357422},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.411073237657547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37491273880004883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3737086355686188}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6145123839378357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5715734958648682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45893594622612},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4503832459449768},{"id":"https://openalex.org/C75814411","wikidata":"https://www.wikidata.org/wiki/Q4818714","display_name":"Attribute domain","level":3,"score":0.44726768136024475},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4429607391357422},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.411073237657547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37491273880004883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3737086355686188},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tetci.2018.2869919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2018.2869919","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:nottingham-repository.worktribe.com:1174782","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/1174782","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"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":null,"raw_type":"Journal Article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/148223","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/148223","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:nottingham-repository.worktribe.com:1174782","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/1174782","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"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":null,"raw_type":"Journal Article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3388530367","display_name":"A neural fuzzy fusion engine for human-machine autonomous systems","funder_award_id":"DP180100670","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3591990042","display_name":null,"funder_award_id":"BK20151274","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4456191262","display_name":null,"funder_award_id":"XYDXXJS-048","funder_id":"https://openalex.org/F4320321605","funder_display_name":"Government of Jiangsu Province"},{"id":"https://openalex.org/G5816298421","display_name":"Cognitive intelligent information processing and presentation in navigation","funder_award_id":"DP180100656","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6282591374","display_name":null,"funder_award_id":"61300167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7548262517","display_name":null,"funder_award_id":"2016-","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G923240192","display_name":null,"funder_award_id":"XYDXXJS-048","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null},{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1504694836","https://openalex.org/W1843766148","https://openalex.org/W1942576506","https://openalex.org/W1965429189","https://openalex.org/W1967145187","https://openalex.org/W1967165005","https://openalex.org/W1992537691","https://openalex.org/W1997687853","https://openalex.org/W2002680690","https://openalex.org/W2016929372","https://openalex.org/W2017023378","https://openalex.org/W2022262325","https://openalex.org/W2023750321","https://openalex.org/W2031978194","https://openalex.org/W2033857698","https://openalex.org/W2049571912","https://openalex.org/W2050159152","https://openalex.org/W2063364984","https://openalex.org/W2067065405","https://openalex.org/W2071881327","https://openalex.org/W2072371577","https://openalex.org/W2076837108","https://openalex.org/W2080731889","https://openalex.org/W2081930221","https://openalex.org/W2085692415","https://openalex.org/W2101285186","https://openalex.org/W2111011053","https://openalex.org/W2118520708","https://openalex.org/W2122765909","https://openalex.org/W2125055259","https://openalex.org/W2131104747","https://openalex.org/W2137396323","https://openalex.org/W2145661921","https://openalex.org/W2153098502","https://openalex.org/W2163064483","https://openalex.org/W2313033407","https://openalex.org/W2333673279","https://openalex.org/W2497439958","https://openalex.org/W2509808765","https://openalex.org/W2612154405","https://openalex.org/W2749408386","https://openalex.org/W2912565176","https://openalex.org/W3048739835","https://openalex.org/W3110009179","https://openalex.org/W3120740533","https://openalex.org/W4211007335","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2369600854","https://openalex.org/W2373890986","https://openalex.org/W2351091520","https://openalex.org/W2376925652","https://openalex.org/W2154388519","https://openalex.org/W2370759495","https://openalex.org/W2904406045","https://openalex.org/W2377731241","https://openalex.org/W2392079855","https://openalex.org/W2166201494"],"abstract_inverted_index":{"Since":[0],"big":[1,49,83],"data":[2,50],"sets":[3,34,157],"are":[4],"structurally":[5],"complex,":[6],"high-dimensional,":[7],"and":[8,14,20,45,81,124,150,172,213,236],"their":[9],"attributes":[10,25,47,135],"exhibit":[11],"some":[12],"redundant":[13],"irrelevant":[15],"information,":[16],"the":[17,73,79,118,126,141,146,154,180,208,218,253],"selection,":[18],"evaluation,":[19],"combination":[21],"of":[22,58,75,112,133,143,161,182,189,230,244,256],"those":[23,243],"large-scale":[24],"pose":[26],"huge":[27],"challenges":[28],"to":[29,41,60,70,121,139,164,225],"traditional":[30,76],"methods.":[31,220],"Fuzzy":[32],"rough":[33,176],"have":[35],"emerged":[36],"as":[37],"a":[38,54,64,90,101,159,175,187,239],"powerful":[39],"vehicle":[40],"deal":[42],"with":[43,145,174,186,198,217,242],"uncertain":[44,80],"fuzzy":[46,82,93,131],"in":[48,63,78,85,117],"problems":[51,191],"that":[52,192,204],"involve":[53],"very":[55,65],"large":[56],"number":[57],"variables":[59],"be":[61,137],"analyzed":[62],"short":[66],"time.":[67],"In":[68],"order":[69,95,128,170],"further":[71],"overcome":[72],"inefficiency":[74],"algorithms":[77],"data,":[84],"this":[86],"paper":[87],"we":[88],"present":[89],"new":[91],"coevolutionary":[92],"attribute":[94,119,127,169],"reduction":[96,171],"algorithm":[97],"(CFAOR)":[98],"based":[99],"on":[100],"complete":[102,107],"attribute-value":[103,108],"space":[104,109,120],"tree.":[105,129],"A":[106],"tree":[110],"model":[111],"decision":[113,155],"table":[114],"is":[115,184,223],"designed":[116],"adaptively":[122],"prune":[123],"optimize":[125],"The":[130,200],"similarity":[132],"multimodality":[134],"can":[136,206],"extracted":[138],"satisfy":[140],"needs":[142],"users":[144],"better":[147],"convergence":[148],"speed":[149],"classification":[151,173,214],"performance.":[152],"Then,":[153],"rule":[156,162],"generate":[158],"series":[160],"chains":[163],"form":[165],"an":[166],"efficient":[167],"cascade":[168],"entropy":[177],"threshold.":[178],"Finally,":[179],"performance":[181],"CFAOR":[183,205,222],"assessed":[185],"set":[188],"benchmark":[190],"contain":[193],"complex":[194],"high":[195],"dimensional":[196],"datasets":[197],"noise.":[199],"experimental":[201],"results":[202],"demonstrate":[203],"achieve":[207],"higher":[209],"average":[210],"computational":[211],"efficiency":[212],"accuracy,":[215],"compared":[216],"state-of-the-art":[219],"Furthermore,":[221],"applied":[224],"extract":[226],"different":[227],"tissues":[228],"surfaces":[229],"dynamical":[231],"changing":[232],"infant":[233,257],"cerebral":[234],"cortex":[235],"it":[237],"achieves":[238],"satisfying":[240],"consistency":[241],"medical":[245],"experts,":[246],"which":[247],"shows":[248],"its":[249],"potential":[250],"significance":[251],"for":[252],"disorder":[254],"prediction":[255],"cerebrum.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}