{"id":"https://openalex.org/W2143390909","doi":"https://doi.org/10.1080/01969720302850","title":"A NEW METHOD TO GENERATE FUZZY RULES FROM RELATIONAL DATABASE SYSTEMS FOR ESTIMATING NULL VALUES","display_name":"A NEW METHOD TO GENERATE FUZZY RULES FROM RELATIONAL DATABASE SYSTEMS FOR ESTIMATING NULL VALUES","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2143390909","doi":"https://doi.org/10.1080/01969720302850","mag":"2143390909"},"language":"en","primary_location":{"id":"doi:10.1080/01969720302850","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720302850","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"},"type":"article","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/A5061831201","display_name":"Shyi\u2010Ming Chen","orcid":"https://orcid.org/0000-0001-8648-631X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"SHYI-MING CHEN","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101773514","display_name":"Shih\u2010Wei Lee","orcid":"https://orcid.org/0000-0003-1535-121X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"SHIH-WEI LEE","raw_affiliation_strings":["Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R. O. C","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061831201"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":1.8274,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87905195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"34","issue":"1","first_page":"33","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9987999796867371,"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":0.9987999796867371,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9915000200271606,"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/data-mining","display_name":"Data mining","score":0.6420807838439941},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5908594131469727},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.5845963358879089},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5794022679328918},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5390381813049316},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.5386521816253662},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.5245131254196167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.523246705532074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4784819483757019},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.4733572006225586},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4460431933403015},{"id":"https://openalex.org/keywords/type-2-fuzzy-sets-and-systems","display_name":"Type-2 fuzzy sets and systems","score":0.41813182830810547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3816808760166168},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.332294762134552}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6420807838439941},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5908594131469727},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.5845963358879089},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5794022679328918},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5390381813049316},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.5386521816253662},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.5245131254196167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.523246705532074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4784819483757019},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.4733572006225586},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4460431933403015},{"id":"https://openalex.org/C17350324","wikidata":"https://www.wikidata.org/wiki/Q7860605","display_name":"Type-2 fuzzy sets and systems","level":5,"score":0.41813182830810547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3816808760166168},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.332294762134552},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969720302850","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720302850","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W611848211","https://openalex.org/W615842445","https://openalex.org/W1521534991","https://openalex.org/W1591757626","https://openalex.org/W1973444507","https://openalex.org/W1995900158","https://openalex.org/W2001198344","https://openalex.org/W2013013496","https://openalex.org/W2050288270","https://openalex.org/W2050547330","https://openalex.org/W2065205584","https://openalex.org/W2100921291","https://openalex.org/W2108742134","https://openalex.org/W2123756630","https://openalex.org/W2149115566","https://openalex.org/W2149706766","https://openalex.org/W2157041604","https://openalex.org/W2158316397","https://openalex.org/W2160943311","https://openalex.org/W2598771954","https://openalex.org/W2912565176","https://openalex.org/W3139831614","https://openalex.org/W3146425672","https://openalex.org/W3203633735","https://openalex.org/W4211007335","https://openalex.org/W4245152641","https://openalex.org/W4291114417","https://openalex.org/W4299298262","https://openalex.org/W6643560596"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W1485268022","https://openalex.org/W2674573885","https://openalex.org/W1975005191","https://openalex.org/W2331106272","https://openalex.org/W2253053392","https://openalex.org/W1542808721","https://openalex.org/W4361984403","https://openalex.org/W3176863924","https://openalex.org/W173448675"],"abstract_inverted_index":{"Fuzzy":[0],"decision":[1,28,43,124],"trees":[2,29,44],"can":[3],"be":[4],"used":[5,55],"to":[6,13,25,35,56,79,98,119],"generate":[7,36],"fuzzy":[8,27,37,42,66,108,123,129],"rules":[9,38],"from":[10,30,39],"training":[11],"instances":[12],"deal":[14],"with":[15],"forecasting":[16],"and":[17,34,90],"classification":[18],"problems.":[19],"We":[20,68],"propose":[21],"a":[22,121,135],"new":[23],"method":[24,133],"construct":[26,120],"relational":[31,87,150],"database":[32,88,151],"systems":[33,89],"the":[40,50,58,64,70,77,81,84,92,96,100,106,117,142],"constructed":[41],"for":[45,126,145],"estimating":[46,146],"null":[47,147],"values,":[48],"where":[49],"weights":[51,82,94],"of":[52,60,63,72,74,76,83,95,102,105,116],"attributes":[53,85,97],"are":[54],"derive":[57,80,99],"values":[59,101,148],"certainty":[61,103],"factors":[62,104],"generated":[65,107],"rules.":[67,109,130],"use":[69,91,113],"concept":[71],"\"coefficient":[73],"determination\"":[75],"statistics":[78,118],"in":[86,149],"normalized":[93],"Furthermore,":[110],"we":[111],"also":[112],"regression":[114],"equations":[115],"complete":[122],"tree":[125],"generating":[127],"better":[128],"The":[131],"proposed":[132],"obtains":[134],"higher":[136],"average":[137],"estimated":[138],"accuracy":[139],"rate":[140],"than":[141],"existing":[143],"methods":[144],"systems.":[152]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
