{"id":"https://openalex.org/W1560368474","doi":"https://doi.org/10.1109/fuzzy.2004.1375725","title":"Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation","display_name":"Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W1560368474","doi":"https://doi.org/10.1109/fuzzy.2004.1375725","mag":"1560368474"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2004.1375725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)","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/A5064161587","display_name":"Rafael Alcal\u00e1","orcid":"https://orcid.org/0000-0003-1140-6156"},"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":"R. Alcala","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","Dept. of Comput. Sci. & Artificial Intelligence, Granada Univ., Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Artificial Intelligence, Granada Univ., Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045016749","display_name":"Francisco Herrera","orcid":"https://orcid.org/0000-0002-7283-312X"},"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":"F. Herrera","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","Dept. of Comput. Sci. & Artificial Intelligence, Granada Univ., Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Artificial Intelligence, Granada Univ., Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064161587"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":3.51,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92472424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"233","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9915000200271606,"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":0.9646000266075134,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.937998354434967},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6678736209869385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6518930792808533},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.585793673992157},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5742515921592712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5396952033042908},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.5257350206375122},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4535572826862335},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.448020339012146},{"id":"https://openalex.org/keywords/complex-system","display_name":"Complex system","score":0.44199591875076294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4088137149810791},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.331622838973999},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3247298002243042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2274433672428131}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.937998354434967},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6678736209869385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6518930792808533},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.585793673992157},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5742515921592712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396952033042908},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.5257350206375122},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4535572826862335},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.448020339012146},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.44199591875076294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4088137149810791},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.331622838973999},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3247298002243042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2274433672428131},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2004.1375725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W601489594","https://openalex.org/W1514048016","https://openalex.org/W1598305436","https://openalex.org/W1970104171","https://openalex.org/W1992176519","https://openalex.org/W2019207321","https://openalex.org/W2050288270","https://openalex.org/W2080343904","https://openalex.org/W2097460058","https://openalex.org/W2117827905","https://openalex.org/W2129880717","https://openalex.org/W2157041604","https://openalex.org/W2165643853","https://openalex.org/W4236065546","https://openalex.org/W4249749961"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4285210389","https://openalex.org/W3207109968","https://openalex.org/W2133615482","https://openalex.org/W829773823","https://openalex.org/W2937114745"],"abstract_inverted_index":{"Linguistic":[0],"fuzzy":[1,93,112,134],"modeling":[2,9,26],"allows":[3,165],"us":[4],"to":[5,83,90,100],"deal":[6],"with":[7,128,137],"the":[8,27,30,33,42,46,50,54,70,77,84,91,97,125,129,159,166,170],"of":[10,25,32,52,69,73,86,111,119,124,132,169,176,178,181],"systems":[11,61,114,136],"building":[12],"a":[13,101,107,138,143,152,188],"linguistic":[14,55,92,126,160],"model":[15,35,47,56,163],"clearly":[16],"interpretable":[17],"by":[18,117,157],"human":[19],"beings.":[20],"However,":[21],"in":[22,76],"this":[23,66,74,105,149,185],"kind":[24],"accuracy":[28,57,89,140],"and":[29,141],"interpretability":[31,99],"obtained":[34],"are":[36,62],"contradictory":[37],"properties":[38],"directly":[39],"depending":[40],"on":[41],"learning":[43],"process":[44],"and/or":[45],"structure.":[48],"Thus,":[49],"necessity":[51],"improving":[53],"arises":[58],"when":[59],"complex":[60],"modeled.":[63],"To":[64,146],"solve":[65],"problem,":[67],"one":[68],"research":[71],"lines":[72],"framework":[75],"last":[78],"years":[79],"has":[80],"leaded":[81],"up":[82],"objective":[85],"giving":[87],"more":[88],"modeling,":[94],"without":[95],"losing":[96],"associated":[98],"high":[102],"level.":[103],"In":[104],"work,":[106],"new":[108,153],"post-processing":[109],"method":[110],"rule-based":[113,135],"is":[115],"proposed":[116],"means":[118],"an":[120,174],"evolutionary":[121],"lateral":[122,167],"tuning":[123,150],"variables,":[127],"main":[130],"aim":[131],"obtaining":[133],"better":[139],"maintaining":[142],"good":[144],"interpretability.":[145],"do":[147],"so,":[148],"considers":[151],"rule":[154],"representation":[155,162],"scheme":[156],"using":[158],"2-tuples":[161],"which":[164],"variation":[168],"involved":[171],"labels.":[172],"As":[173],"example":[175],"application":[177],"these":[179],"kinds":[180],"systems,":[182],"we":[183],"analyze":[184],"approach":[186],"considering":[187],"real-world":[189],"problem.":[190]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}