{"id":"https://openalex.org/W2748926641","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015502","title":"Fuzzy ID3 algorithm on linguistic dataset by using WABL defuzzification method","display_name":"Fuzzy ID3 algorithm on linguistic dataset by using WABL defuzzification method","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2748926641","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015502","mag":"2748926641"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2017.8015502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5002816137","display_name":"Suzan Kantarc\u0131 Sava\u015f","orcid":"https://orcid.org/0000-0002-1190-6209"},"institutions":[{"id":"https://openalex.org/I193615760","display_name":"Dokuz Eyl\u00fcl University","ror":"https://ror.org/00dbd8b73","country_code":"TR","type":"education","lineage":["https://openalex.org/I193615760"]},{"id":"https://openalex.org/I264262938","display_name":"K\u0131rklareli University","ror":"https://ror.org/00jb0e673","country_code":"TR","type":"education","lineage":["https://openalex.org/I264262938"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Suzan Kantarci-Savas","raw_affiliation_strings":["Department of Computer Science, Dokuz Eylul University, Izmir, Turkey","Department of Econometrics, Kirklareli University, Kirklareli, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dokuz Eylul University, Izmir, Turkey","institution_ids":["https://openalex.org/I193615760"]},{"raw_affiliation_string":"Department of Econometrics, Kirklareli University, Kirklareli, Turkey","institution_ids":["https://openalex.org/I264262938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048847736","display_name":"Efendi Nas\u0131bov","orcid":"https://orcid.org/0000-0002-1889-6410"},"institutions":[{"id":"https://openalex.org/I126595936","display_name":"Azerbaijan National Academy of Sciences","ror":"https://ror.org/006m4q736","country_code":"AZ","type":"government","lineage":["https://openalex.org/I126595936"]},{"id":"https://openalex.org/I193615760","display_name":"Dokuz Eyl\u00fcl University","ror":"https://ror.org/00dbd8b73","country_code":"TR","type":"education","lineage":["https://openalex.org/I193615760"]}],"countries":["AZ","TR"],"is_corresponding":false,"raw_author_name":"Efendi Nasibov","raw_affiliation_strings":["Azerbaijan National Academy of Sciences, Institute of Control Systems, Baku, Azerbaijan","Department of Computer Science, Dokuz Eylul University, Izmir, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Azerbaijan National Academy of Sciences, Institute of Control Systems, Baku, Azerbaijan","institution_ids":["https://openalex.org/I126595936"]},{"raw_affiliation_string":"Department of Computer Science, Dokuz Eylul University, Izmir, Turkey","institution_ids":["https://openalex.org/I193615760"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4153,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63568088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"41","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9961000084877014,"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":0.9836000204086304,"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":0.9758999943733215,"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/defuzzification","display_name":"Defuzzification","score":0.6262520551681519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6175200343132019},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5524383187294006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49564969539642334},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3785501718521118},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3655537962913513},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3540458679199219},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.24139368534088135}],"concepts":[{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.6262520551681519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6175200343132019},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5524383187294006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49564969539642334},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3785501718521118},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3655537962913513},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3540458679199219},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.24139368534088135}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2017.8015502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1485268022","https://openalex.org/W1990368529","https://openalex.org/W2023837808","https://openalex.org/W2033456565","https://openalex.org/W2038648256","https://openalex.org/W2074704352","https://openalex.org/W2077450947","https://openalex.org/W2103478177","https://openalex.org/W2111466135","https://openalex.org/W2113076747","https://openalex.org/W2130492542","https://openalex.org/W2157041604","https://openalex.org/W2158940654","https://openalex.org/W2338510976","https://openalex.org/W2484215240","https://openalex.org/W2560241536","https://openalex.org/W4211007335","https://openalex.org/W4245152641","https://openalex.org/W6669006996"],"related_works":["https://openalex.org/W154406135","https://openalex.org/W1498764282","https://openalex.org/W3146054646","https://openalex.org/W2105513450","https://openalex.org/W1994580010","https://openalex.org/W4252903794","https://openalex.org/W4210469572","https://openalex.org/W4361984403","https://openalex.org/W4313153213","https://openalex.org/W1487720066"],"abstract_inverted_index":{"In":[0,67],"real":[1],"life,":[2],"most":[3],"of":[4,105,116],"information":[5,30],"is":[6,12,87,99,132,141,150],"presented":[7],"with":[8,33],"words.":[9,34],"Also,":[10],"classification":[11,57,173],"an":[13],"important":[14],"issue":[15],"to":[16,26,54,89,101,111],"make":[17],"decisions":[18],"in":[19,124],"daily":[20],"life.":[21],"Fuzzy":[22,129],"logic":[23],"gives":[24],"flexibility":[25],"handle":[27],"the":[28,103,106,139],"imprecise":[29],"for":[31,64,121,175],"computing":[32],"And,":[35],"linguistic":[36,65,107,118,176],"variables":[37,123],"can":[38],"be":[39],"defined":[40,120],"by":[41,59,143],"using":[42,60,144],"triangular":[43],"fuzzy":[44,49,61,77,80,95,122,170],"numbers":[45],"given":[46],"as":[47],"L-R":[48],"numbers.":[50],"This":[51],"study":[52,149],"aims":[53],"provide":[55],"a":[56,165,169],"approach":[58],"ID3":[62,81,130],"algorithm":[63,82,98,131],"data.":[66],"this":[68],"study,":[69],"Weighted":[70],"Averaging":[71],"Based":[72],"on":[73,152],"Levels":[74],"(WABL)":[75],"method,":[76],"c-means,":[78],"and":[79,110,138,162],"are":[83,136],"combined.":[84],"WABL":[85],"method":[86],"used":[88],"obtain":[90,112],"crisp":[91],"data":[92,125,155],"set.":[93],"Then,":[94],"c-means":[96],"(FCM)":[97],"performed":[100,151],"introduce":[102],"shape":[104],"terms":[108],"limits":[109],"each":[113,117],"membership":[114],"degree":[115],"term":[119],"sets.":[126],"At":[127],"last,":[128],"applied.":[133],"The":[134],"rules":[135],"generated":[137],"reasoning":[140],"done":[142],"Zadeh":[145],"T-norm/conorm":[146],"operators.":[147],"Experimental":[148],"six":[153],"well-known":[154],"sets":[156],"(Iris,":[157],"Wdcb,":[158],"Phoneme,":[159],"Ring,":[160],"Sonar,":[161],"Pima).":[163],"As":[164],"conclusion,":[166],"we":[167],"proposed":[168],"decision":[171],"tree":[172],"methodology":[174],"datasets.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
