{"id":"https://openalex.org/W2109292243","doi":"https://doi.org/10.1109/fuzzy.2006.1681946","title":"Ranking Attributes to Build Fuzzy Decision Trees: a Comparative Study of Measures","display_name":"Ranking Attributes to Build Fuzzy Decision Trees: a Comparative Study of Measures","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2109292243","doi":"https://doi.org/10.1109/fuzzy.2006.1681946","mag":"2109292243"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2006.1681946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1681946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-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/A5076504951","display_name":"Christophe Marsala","orcid":"https://orcid.org/0000-0002-4022-9796"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"C. Marsala","raw_affiliation_strings":["Universi\u00e9 Pierre et Marie Curie-Paris6, UMR7606, LIP6, Paris, France","Univ. Pierre et Marie Curie-Paris, Paris"],"affiliations":[{"raw_affiliation_string":"Universi\u00e9 Pierre et Marie Curie-Paris6, UMR7606, LIP6, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Univ. Pierre et Marie Curie-Paris, Paris","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107338358","display_name":"Bernadette Bouchon\u2010Meunier","orcid":"https://orcid.org/0000-0002-7937-7796"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"B. Bouchon-Meunier","raw_affiliation_strings":["Universit\u00e9 Pierre et Marie Curie-Paris6, CNRS, UMR7606, LIP6, Paris, France","Univ. Pierre et Marie Curie-Paris, Paris"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie-Paris6, CNRS, UMR7606, LIP6, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I1294671590","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Univ. Pierre et Marie Curie-Paris, Paris","institution_ids":["https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076504951"],"corresponding_institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"],"apc_list":null,"apc_paid":null,"fwci":1.7237,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89325483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"1777","last_page":"1783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9965000152587891,"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":0.9934999942779541,"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/decision-tree","display_name":"Decision tree","score":0.6519508361816406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6340172290802002},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6165251135826111},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.551618754863739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5471928119659424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424879193305969},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5370074510574341},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.48385322093963623},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.48171740770339966},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47585150599479675},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4599775969982147},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4395594000816345},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.4328667223453522},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4041195213794708},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.37476497888565063}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6519508361816406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6340172290802002},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6165251135826111},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.551618754863739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5471928119659424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424879193305969},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5370074510574341},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.48385322093963623},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.48171740770339966},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47585150599479675},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4599775969982147},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4395594000816345},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.4328667223453522},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4041195213794708},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.37476497888565063},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.1109/fuzzy.2006.1681946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1681946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01352474v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01352474","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Fuzzy Systems, Jul 2006, Vancouver, Canada. pp.1777-1783, ⟨10.1109/FUZZY.2006.1681946⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.75,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W34761046","https://openalex.org/W251814528","https://openalex.org/W1594031697","https://openalex.org/W1959063484","https://openalex.org/W1980042288","https://openalex.org/W2015005801","https://openalex.org/W2015487637","https://openalex.org/W2026301394","https://openalex.org/W2038190934","https://openalex.org/W2045400477","https://openalex.org/W2063243672","https://openalex.org/W2090112495","https://openalex.org/W2102468045","https://openalex.org/W2119475352","https://openalex.org/W2125055259","https://openalex.org/W2149706766","https://openalex.org/W2163832897","https://openalex.org/W2330820318","https://openalex.org/W2506154138","https://openalex.org/W2735197618","https://openalex.org/W3139831614","https://openalex.org/W4236137412","https://openalex.org/W6645533822","https://openalex.org/W6675363865","https://openalex.org/W6725331148","https://openalex.org/W6741208550"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W2253053392","https://openalex.org/W2331106272","https://openalex.org/W2121560876","https://openalex.org/W2614887008","https://openalex.org/W1542808721","https://openalex.org/W3118797707","https://openalex.org/W1485268022","https://openalex.org/W173448675","https://openalex.org/W2366385051"],"abstract_inverted_index":{"The":[0,86],"construction":[1,80],"of":[2,30,81,97],"decision":[3,14,48,84,99],"trees":[4,15],"is":[5,50,59,88,101],"an":[6],"efficient":[7],"tool":[8],"for":[9],"inductive":[10],"learning,":[11],"and":[12],"fuzzy":[13,47,83,98],"are":[16],"particularly":[17],"interesting":[18],"because":[19],"they":[20],"enable":[21,90],"the":[22,31,42,79,91],"user":[23],"to":[24,44,61,89,93],"take":[25],"into":[26],"account":[27],"imprecise":[28],"descriptions":[29],"cases,":[32],"or":[33,38],"heterogeneous":[34],"values":[35],"(symbolic,":[36],"numerical,":[37],"fuzzy).":[39],"However,":[40],"since":[41],"method":[43],"construct":[45],"a":[46,56,82],"tree":[49,100],"not":[51],"unique,":[52],"in":[53],"this":[54],"paper,":[55],"comparative":[57],"study":[58,69],"presented":[60],"point":[62],"out":[63],"differences":[64,72],"between":[65,73],"three":[66],"methods.":[67],"This":[68],"focus":[70],"on":[71],"methods":[74],"when":[75],"ranking":[76],"attributes":[77],"during":[78],"tree.":[85],"aim":[87],"reader":[92],"understand":[94],"what":[95],"kind":[96],"obtained":[102],"by":[103],"each":[104],"method.":[105]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}