{"id":"https://openalex.org/W2103349857","doi":"https://doi.org/10.1109/icsmc.2009.5346332","title":"A granular computing approach to improve large attributes learning","display_name":"A granular computing approach to improve large attributes learning","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2103349857","doi":"https://doi.org/10.1109/icsmc.2009.5346332","mag":"2103349857"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111443908","display_name":"Fengming M. Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fengming M. Chang","raw_affiliation_strings":["Department of Information Science and Applications, Asia University, Taichung, Taiwan","Department of Information Science and Applications, Asia University, Wufeng, Taichung 41354, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Applications, Asia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I143578492"]},{"raw_affiliation_string":"Department of Information Science and Applications, Asia University, Wufeng, Taichung 41354, Taiwan","institution_ids":["https://openalex.org/I143578492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006984328","display_name":"Chien-Chung Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chien-Chung Chan","raw_affiliation_strings":["Department of Computer Science, University of Akron, Akron, OH, USA","Department of Computer Science, University of Akron, Akron, OH 44325-4003, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Akron, Akron, OH, USA","institution_ids":["https://openalex.org/I110152177"]},{"raw_affiliation_string":"Department of Computer Science, University of Akron, Akron, OH 44325-4003, USA#TAB#","institution_ids":["https://openalex.org/I110152177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":null,"first_page":"2521","last_page":"2525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"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":1.0,"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/T10320","display_name":"Neural Networks and Applications","score":0.9929999709129333,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9919999837875366,"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/computer-science","display_name":"Computer science","score":0.7815962433815002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6966107487678528},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.6596933603286743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6384419798851013},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5933745503425598},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5776554346084595},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5552976727485657},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5243680477142334},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5106585621833801},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5077222585678101},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48041725158691406},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.4712657928466797},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.43008098006248474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11370912194252014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7815962433815002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6966107487678528},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.6596933603286743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6384419798851013},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5933745503425598},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5776554346084595},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5552976727485657},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5243680477142334},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5106585621833801},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5077222585678101},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48041725158691406},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4712657928466797},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.43008098006248474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11370912194252014},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1538967237","https://openalex.org/W1557923305","https://openalex.org/W1566420918","https://openalex.org/W1605948227","https://openalex.org/W1607225427","https://openalex.org/W1656108767","https://openalex.org/W1975457564","https://openalex.org/W1975980892","https://openalex.org/W1976385710","https://openalex.org/W1992926813","https://openalex.org/W1996323836","https://openalex.org/W2018631819","https://openalex.org/W2019207321","https://openalex.org/W2036999870","https://openalex.org/W2111204393","https://openalex.org/W2111610060","https://openalex.org/W2115627697","https://openalex.org/W2115918328","https://openalex.org/W2133235242","https://openalex.org/W2165100383","https://openalex.org/W2167063930","https://openalex.org/W2500062327","https://openalex.org/W2536744123","https://openalex.org/W3002147137","https://openalex.org/W3146863510","https://openalex.org/W4251830999","https://openalex.org/W4256231817","https://openalex.org/W6634061534"],"related_works":["https://openalex.org/W2385082087","https://openalex.org/W2978631811","https://openalex.org/W2381555525","https://openalex.org/W2484240834","https://openalex.org/W327654139","https://openalex.org/W2389689794","https://openalex.org/W1970726137","https://openalex.org/W2766401420","https://openalex.org/W2367964367","https://openalex.org/W2020100635"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,22,26,59,71,103,109,115],"concept":[3],"of":[4,24,28,37,61,111],"granular":[5],"computing,":[6],"this":[7],"article":[8],"proposes":[9],"a":[10,41],"novel":[11],"Boolean":[12,62],"conversion":[13],"(BC)":[14],"method":[15,49,106],"to":[16,54,69],"reduce":[17],"data":[18,65],"attribute":[19],"number":[20,56],"for":[21],"purpose":[23],"improving":[25],"efficiency":[27,110],"learning":[29,72,98,113],"in":[30],"artificial":[31,87],"intelligence.":[32],"Data":[33],"with":[34],"large":[35,51],"amount":[36,52],"attributes":[38,53],"usually":[39],"cause":[40],"system":[42],"freezes":[43],"or":[44],"shuts":[45],"down.":[46],"The":[47],"proposed":[48,104],"combines":[50],"smaller":[55],"ones":[57],"by":[58,76],"way":[60],"method.":[63],"Three":[64],"sets":[66],"are":[67],"used":[68],"compare":[70],"accuracies":[73],"and":[74,96,114],"efficiencies":[75],"Bayesian":[77],"networks":[78],"(BN),":[79],"C4.5":[80],"decision":[81],"tree,":[82],"support":[83],"vector":[84],"machine":[85,112],"(SVM),":[86],"neural":[88,92],"network":[89,93],"(ANN),":[90],"fuzzy":[91],"(FNN,":[94],"neuro-fuzzy),":[95],"mega-fuzzification":[97],"methods.":[99],"Results":[100],"indicate":[101],"that":[102],"BC":[105],"can":[107],"improve":[108],"accuracy":[116],"is":[117],"not":[118],"worse.":[119]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}