{"id":"https://openalex.org/W1995900158","doi":"https://doi.org/10.1080/01969720050192054","title":"A NEW METHOD FOR CONSTRUCTING FUZZY DECISION TREES AND GENERATING FUZZY CLASSIFICATION RULES FROM TRAINING EXAMPLES","display_name":"A NEW METHOD FOR CONSTRUCTING FUZZY DECISION TREES AND GENERATING FUZZY CLASSIFICATION RULES FROM TRAINING EXAMPLES","publication_year":2000,"publication_date":"2000-10-01","ids":{"openalex":"https://openalex.org/W1995900158","doi":"https://doi.org/10.1080/01969720050192054","mag":"1995900158"},"language":"en","primary_location":{"id":"doi:10.1080/01969720050192054","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720050192054","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":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shyi-Ming Chen, Shih-Yirng Lin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061831201"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0758,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.91657157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"31","issue":"7","first_page":"763","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9986000061035156,"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":0.9986000061035156,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9929999709129333,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9926999807357788,"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/computer-science","display_name":"Computer science","score":0.6766407489776611},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6487426161766052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5500444769859314},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5452389121055603},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5391474366188049},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5199507474899292},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4624170958995819},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4191417098045349},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3640751242637634},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.303924024105072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6766407489776611},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6487426161766052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5500444769859314},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5452389121055603},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5391474366188049},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5199507474899292},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4624170958995819},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4191417098045349},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3640751242637634},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.303924024105072},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969720050192054","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720050192054","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1604329830","https://openalex.org/W2015487637","https://openalex.org/W2050547330","https://openalex.org/W2063243672","https://openalex.org/W2077450947","https://openalex.org/W2108742134","https://openalex.org/W2138707903","https://openalex.org/W2149115566","https://openalex.org/W2157041604","https://openalex.org/W2408004691","https://openalex.org/W2912565176"],"related_works":["https://openalex.org/W1486684451","https://openalex.org/W2087021805","https://openalex.org/W2166637398","https://openalex.org/W2066929655","https://openalex.org/W4388516489","https://openalex.org/W1487720066","https://openalex.org/W4361984403","https://openalex.org/W2904646179","https://openalex.org/W2608292510","https://openalex.org/W2148925928"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"presents":[3],"a":[4,35],"new":[5],"method":[6,26,47],"for":[7],"constructing":[8],"fuzzy":[9,14,30,50],"decision":[10],"trees":[11],"and":[12,33],"generating":[13],"classification":[15,31,37,51],"rules":[16,32],"from":[17],"training":[18],"instances":[19],"using":[20],"compound":[21],"analysis":[22],"techniques.":[23],"The":[24],"proposed":[25,46],"can":[27],"generate":[28],"simpler":[29],"has":[34],"better":[36],"accuracy":[38],"rate":[39],"than":[40],"the":[41,45],"existing":[42],"method.":[43],"Furthermore,":[44],"generated":[48],"less":[49],"rules.":[52]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}