{"id":"https://openalex.org/W2049679356","doi":"https://doi.org/10.1109/isda.2011.6121828","title":"An iterative strategy for feature construction on a fuzzy rule-based learning algorithm","display_name":"An iterative strategy for feature construction on a fuzzy rule-based learning algorithm","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2049679356","doi":"https://doi.org/10.1109/isda.2011.6121828","mag":"2049679356"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2011.6121828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","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 Garcia","raw_affiliation_strings":["Departamento de Ciencias de la Computaci\u00f3n e I.A., CITIC-UGR University of Granada (Spain), Spain","Departamento de Ciencias de la Computati\u00f3n e LA., CITIC-UGR University of Granada (Spain)"],"affiliations":[{"raw_affiliation_string":"Departamento de Ciencias de la Computaci\u00f3n e I.A., CITIC-UGR University of Granada (Spain), Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Departamento de Ciencias de la Computati\u00f3n e LA., CITIC-UGR University of 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 Gonzalez","raw_affiliation_strings":["Departamento de Ciencias de la Computaci\u00f3n e I.A., CITIC-UGR University of Granada (Spain), Spain","Departamento de Ciencias de la Computati\u00f3n e LA., CITIC-UGR University of Granada (Spain)"],"affiliations":[{"raw_affiliation_string":"Departamento de Ciencias de la Computaci\u00f3n e I.A., CITIC-UGR University of Granada (Spain), Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Departamento de Ciencias de la Computati\u00f3n e LA., CITIC-UGR University of 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":"Raul Perez","raw_affiliation_strings":["Departamento de Ciencias de la Computaci\u00f3n e I.A., CITIC-UGR University of Granada (Spain), Spain","Departamento de Ciencias de la Computati\u00f3n e LA., CITIC-UGR University of Granada (Spain)"],"affiliations":[{"raw_affiliation_string":"Departamento de Ciencias de la Computaci\u00f3n e I.A., CITIC-UGR University of Granada (Spain), Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Departamento de Ciencias de la Computati\u00f3n e LA., CITIC-UGR University of 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":0.4276,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72014327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2321","issue":null,"first_page":"1235","last_page":"1240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9995999932289124,"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":0.9995999932289124,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9929999709129333,"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/T10320","display_name":"Neural Networks and Applications","score":0.9896000027656555,"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/computer-science","display_name":"Computer science","score":0.6836604475975037},{"id":"https://openalex.org/keywords/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.6019964814186096},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5855201482772827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5493801832199097},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.536595344543457},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.5308348536491394},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5263648629188538},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5013773441314697},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49351441860198975},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.48539814352989197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46923238039016724},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4476270079612732},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3927188813686371},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3748168647289276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6836604475975037},{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.6019964814186096},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5855201482772827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5493801832199097},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.536595344543457},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.5308348536491394},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5263648629188538},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5013773441314697},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49351441860198975},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.48539814352989197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46923238039016724},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4476270079612732},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3927188813686371},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3748168647289276},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2011.6121828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5199999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W163023604","https://openalex.org/W297279189","https://openalex.org/W1511618494","https://openalex.org/W1537346575","https://openalex.org/W1573450826","https://openalex.org/W1972071974","https://openalex.org/W1974551701","https://openalex.org/W1992176519","https://openalex.org/W2005360139","https://openalex.org/W2016556800","https://openalex.org/W2035660096","https://openalex.org/W2050288270","https://openalex.org/W2061554433","https://openalex.org/W2066002465","https://openalex.org/W2114538680","https://openalex.org/W2123838014","https://openalex.org/W2126592066","https://openalex.org/W2135423934","https://openalex.org/W2139432865","https://openalex.org/W2146124130","https://openalex.org/W2146713522","https://openalex.org/W3120740533","https://openalex.org/W4249749961","https://openalex.org/W6606638017","https://openalex.org/W6632034358","https://openalex.org/W6788247690"],"related_works":["https://openalex.org/W2478582891","https://openalex.org/W2107728149","https://openalex.org/W2360806008","https://openalex.org/W2203872009","https://openalex.org/W2157900495","https://openalex.org/W2018105956","https://openalex.org/W3157556506","https://openalex.org/W2944041987","https://openalex.org/W2014217581","https://openalex.org/W2083536291"],"abstract_inverted_index":{"This":[0,55],"paper":[1],"presents":[2],"a":[3,10,16,22,29,48,73,90,108,144],"proposal":[4],"for":[5,59],"using":[6],"feature":[7],"construction":[8],"in":[9,97,114,122],"fuzzy":[11],"rule-based":[12],"learning":[13,104,141],"algorithm":[14],"as":[15],"method":[17],"to":[18,27,36,46,68,82,89,99,116,130],"avoid":[19],"working":[20],"with":[21,124,151],"fixed":[23],"set":[24],"of":[25,40,85,95,110,120,147],"features":[26],"describe":[28],"particular":[30],"problem.":[31],"The":[32],"main":[33],"purpose":[34],"is":[35,79,112,154],"increase":[37],"the":[38,60,64,69,83,86,103,125,132,140,148],"amount":[39],"information":[41],"extracted":[42],"from":[43],"initial":[44],"variables":[45],"construct":[47],"model":[49,109],"that":[50,62,134],"has":[51],"better":[52],"prediction":[53],"capability.":[54],"approach":[56,153],"iteratively":[57],"looks":[58],"function":[61,78],"obtains":[63],"best":[65],"adaptation":[66],"level":[67],"examples":[70],"covered":[71],"by":[72,102],"rule.":[74],"If":[75],"exists,":[76],"this":[77,118,152],"added":[80],"both":[81],"antecedent":[84],"rule":[87,111],"and":[88],"specific":[91],"structure":[92],"called":[93],"catalog":[94],"functions":[96,133],"order":[98,115],"be":[100],"considered":[101,138],"algorithm.":[105],"For":[106],"that,":[107],"used":[113],"represent":[117],"kind":[119],"knowledge":[121],"combination":[123],"catalog,":[126],"which":[127],"helps":[128],"us":[129],"manage":[131],"have":[135],"ever":[136],"been":[137],"during":[139],"process.":[142],"Finally,":[143],"comparative":[145],"study":[146],"results":[149],"obtained":[150],"presented.":[155]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
