{"id":"https://openalex.org/W2003670229","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622451","title":"A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm","display_name":"A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2003670229","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622451","mag":"2003670229"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2013.6622451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5090547061","display_name":"David Escudero Garc\u00eda","orcid":"https://orcid.org/0000-0002-3776-3920"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"David Garc\u00eda","raw_affiliation_strings":["Department of Computer Sciences and Artificial Intelligence, C/Periodista Daniel Saucedo Aranda, s/n, (+34) 958242802, University of Granada (Spain), 18071","Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada (Spain), Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences and Artificial Intelligence, C/Periodista Daniel Saucedo Aranda, s/n, (+34) 958242802, University of Granada (Spain), 18071","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada (Spain), Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733330","display_name":"Antonio Gonz\u00e1lez","orcid":"https://orcid.org/0000-0001-8889-7593"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Gonz\u00e1lez","raw_affiliation_strings":["Department of Computer Sciences and Artificial Intelligence, C/Periodista Daniel Saucedo Aranda, s/n, (+34) 958242802, University of Granada (Spain), 18071","Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada (Spain), Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences and Artificial Intelligence, C/Periodista Daniel Saucedo Aranda, s/n, (+34) 958242802, University of Granada (Spain), 18071","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada (Spain), Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033158844","display_name":"Ra\u00fal P\u00e9rez","orcid":"https://orcid.org/0000-0002-1355-1122"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"R\u00e1ul P\u00e9rez","raw_affiliation_strings":["Department of Computer Sciences and Artificial Intelligence, C/Periodista Daniel Saucedo Aranda, s/n, (+34) 958242802, University of Granada (Spain), 18071","Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada (Spain), Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences and Artificial Intelligence, C/Periodista Daniel Saucedo Aranda, s/n, (+34) 958242802, University of Granada (Spain), 18071","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada (Spain), Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090547061"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":1.4427,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85226086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9923999905586243,"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/T10320","display_name":"Neural Networks and Applications","score":0.9908999800682068,"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/interpretability","display_name":"Interpretability","score":0.8616793155670166},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.7967790365219116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833747029304504},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.6499525308609009},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5928369760513306},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.588320791721344},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5296164751052856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5128943920135498},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4839794635772705},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.4418700933456421},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41885846853256226},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4106256365776062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3973127603530884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3313356637954712},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.29667896032333374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2266201376914978}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8616793155670166},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.7967790365219116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833747029304504},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.6499525308609009},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5928369760513306},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.588320791721344},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5296164751052856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5128943920135498},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4839794635772705},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.4418700933456421},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41885846853256226},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4106256365776062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3973127603530884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3313356637954712},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.29667896032333374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2266201376914978},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2013.6622451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W163023604","https://openalex.org/W1511618494","https://openalex.org/W1573632620","https://openalex.org/W1972071974","https://openalex.org/W2005360139","https://openalex.org/W2035660096","https://openalex.org/W2046707915","https://openalex.org/W2061554433","https://openalex.org/W2092932761","https://openalex.org/W2108136843","https://openalex.org/W2128523801","https://openalex.org/W2132513611","https://openalex.org/W2135423934","https://openalex.org/W2136000097","https://openalex.org/W2139432865","https://openalex.org/W2140785063","https://openalex.org/W2146713522","https://openalex.org/W2164159077","https://openalex.org/W3120740533","https://openalex.org/W4234760406","https://openalex.org/W4249991499","https://openalex.org/W6676198173"],"related_works":["https://openalex.org/W2050337454","https://openalex.org/W2263538678","https://openalex.org/W2595285209","https://openalex.org/W2380472855","https://openalex.org/W2381277088","https://openalex.org/W2078633362","https://openalex.org/W101241118","https://openalex.org/W2087210802","https://openalex.org/W1986001501","https://openalex.org/W2512308592"],"abstract_inverted_index":{"Different":[0],"fuzzy":[1],"rule-based":[2],"learning":[3],"algorithms":[4],"use":[5],"the":[6,19,38,61,90,95,99,104,125,140,143,148,156,175,178],"sequential":[7],"covering":[8],"strategy.":[9],"This":[10],"model":[11,144,179],"applies":[12],"a":[13,23,30,43],"problem":[14],"decomposition":[15],"strategy,":[16],"in":[17,34,50,54,57,71],"which":[18,37,162],"task":[20],"of":[21,32,36,75,98,142,151,158,177],"finding":[22],"complete":[24],"rule":[25,92,100,106,126],"base":[26,127],"is":[27,40,69],"reduced":[28],"to":[29,41,59,79,88,102],"sequence":[31],"subproblems":[33],"each":[35,72],"solution":[39],"add":[42,80,89,103,121],"single":[44],"rule.":[45],"Now,":[46],"we":[47,82],"are":[48,166],"interested":[49],"introducing":[51],"additional":[52],"capabilities":[53],"this":[55,137,170],"strategy":[56],"order":[58],"review":[60],"knowledge":[62],"previously":[63,113],"extracted.":[64],"Thus,":[65],"our":[66],"main":[67],"objective":[68],"that":[70,93,107,136,164],"iteration":[73],"instead":[74],"only":[76],"being":[77],"able":[78],"rules,":[81],"can":[83,128],"propose":[84],"three":[85],"different":[86],"options:":[87],"best":[91,105],"increases":[94],"prediction":[96],"capability":[97],"base,":[101],"replaces":[108],"one":[109],"or":[110,118],"more":[111,167],"rules":[112,152,165],"learned":[114],"without":[115],"loosing":[116],"accuracy":[117,141],"do":[119],"not":[120,129],"any":[122],"rule,":[123],"if":[124],"be":[130],"improved.":[131],"The":[132],"experimental":[133],"results":[134],"show":[135],"proposal":[138],"maintains":[139],"as":[145,147],"well":[146],"average":[149],"number":[150,157],"but":[153],"significantly":[154],"reducing":[155],"conditions":[159],"per":[160],"database,":[161],"means":[163],"general.":[168],"Therefore,":[169],"new":[171],"iterative":[172],"scheme":[173],"improves":[174],"interpretability":[176],"obtained.":[180]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
