{"id":"https://openalex.org/W2783695918","doi":"https://doi.org/10.1109/iske.2017.8258728","title":"Learning a fuzzy decision tree from uncertain data","display_name":"Learning a fuzzy decision tree from uncertain data","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783695918","doi":"https://doi.org/10.1109/iske.2017.8258728","mag":"2783695918"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2017.8258728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/125752/4/Hang%20Yu.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062917240","display_name":"Hang Yu","orcid":"https://orcid.org/0000-0003-3444-9992"},"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":true,"raw_author_name":"Hang Yu","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675577","display_name":"Jie L\u00fc","orcid":"https://orcid.org/0000-0003-0690-4732"},"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":"Jie Lu","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062192039","display_name":"Guangquan Zhang","orcid":"https://orcid.org/0000-0003-3960-0583"},"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":"Guangquan Zhang","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062917240"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":1.0113,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84820816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994999766349792,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9980999827384949,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/uncertain-data","display_name":"Uncertain data","score":0.8324036598205566},{"id":"https://openalex.org/keywords/id3-algorithm","display_name":"ID3 algorithm","score":0.7279078364372253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6258211731910706},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.609806478023529},{"id":"https://openalex.org/keywords/id3","display_name":"ID3","score":0.5206198692321777},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47524285316467285},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.469360888004303},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4591516852378845},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4482104480266571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4460860788822174},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.44010287523269653},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.4353216886520386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3845731019973755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3637356162071228},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.35913169384002686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30826467275619507}],"concepts":[{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.8324036598205566},{"id":"https://openalex.org/C183931066","wikidata":"https://www.wikidata.org/wiki/Q1653378","display_name":"ID3 algorithm","level":5,"score":0.7279078364372253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6258211731910706},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.609806478023529},{"id":"https://openalex.org/C174599459","wikidata":"https://www.wikidata.org/wiki/Q1054220","display_name":"ID3","level":4,"score":0.5206198692321777},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47524285316467285},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.469360888004303},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4591516852378845},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4482104480266571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4460860788822174},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.44010287523269653},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.4353216886520386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3845731019973755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3637356162071228},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.35913169384002686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30826467275619507},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iske.2017.8258728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/125752","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/125752","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/125752/4/Hang%20Yu.pdf","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":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/125752","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/125752","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/125752/4/Hang%20Yu.pdf","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":"Conference Proceeding"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2783695918.pdf","grobid_xml":"https://content.openalex.org/works/W2783695918.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W128754594","https://openalex.org/W1544154338","https://openalex.org/W1573139986","https://openalex.org/W1967387730","https://openalex.org/W1976339661","https://openalex.org/W1993810822","https://openalex.org/W2003737489","https://openalex.org/W2015005801","https://openalex.org/W2015487637","https://openalex.org/W2019950953","https://openalex.org/W2045400477","https://openalex.org/W2061794300","https://openalex.org/W2080758669","https://openalex.org/W2084812512","https://openalex.org/W2100406636","https://openalex.org/W2102943360","https://openalex.org/W2105958932","https://openalex.org/W2116136273","https://openalex.org/W2137687084","https://openalex.org/W2170595610","https://openalex.org/W2272897035","https://openalex.org/W2281954672","https://openalex.org/W2415111748","https://openalex.org/W2565110636","https://openalex.org/W2620149131","https://openalex.org/W2620229263","https://openalex.org/W6605241255","https://openalex.org/W6671611538","https://openalex.org/W6675694798"],"related_works":["https://openalex.org/W2592385415","https://openalex.org/W2366021451","https://openalex.org/W2188355725","https://openalex.org/W2737010471","https://openalex.org/W2337897523","https://openalex.org/W3004909479","https://openalex.org/W3038416748","https://openalex.org/W2359885068","https://openalex.org/W2169280041","https://openalex.org/W2802270809"],"abstract_inverted_index":{"Uncertainty":[0],"in":[1,57],"data":[2,9,21,51,84,122],"exists":[3],"when":[4],"the":[5,82,101,118,132],"value":[6],"of":[7,31,120,131],"a":[8,13,23,28,62,69,90,112],"item":[10],"is":[11,45,111],"not":[12],"precise":[14],"value,":[15],"but":[16],"rather":[17],"by":[18],"an":[19],"interval":[20,102],"with":[22,49],"probability":[24,29],"distribution":[25,30],"function,":[26],"or":[27],"multiple":[32],"values.":[33],"Since":[34],"there":[35],"are":[36],"intrinsic":[37],"differences":[38],"between":[39],"uncertain":[40,50,83,121],"and":[41,78,114,124],"certain":[42],"data,":[43],"it":[44,73,126],"difficult":[46],"to":[47,80,99,117],"deal":[48],"using":[52],"traditional":[53],"classification":[54,85,123],"algorithms.":[55,134],"Therefore,":[56],"this":[58],"paper,":[59],"we":[60,88],"propose":[61,89],"fuzzy":[63,75],"decision":[64],"tree":[65],"algorithm":[66,92,98,110],"based":[67],"on":[68],"classical":[70],"ID3":[71,79],"algorithm,":[72],"integrates":[74],"set":[76],"theory":[77],"overcome":[81],"problem.":[86],"Besides,":[87],"discretization":[91],"that":[93,107,125],"enables":[94],"our":[95,108],"proposed":[96],"Fuzzy-ID3":[97,109],"handle":[100],"data.":[103],"Experimental":[104],"results":[105],"show":[106],"practical":[113],"robust":[115],"solution":[116],"problem":[119],"performs":[127],"better":[128],"than":[129],"some":[130],"existing":[133]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
