{"id":"https://openalex.org/W2145070997","doi":"https://doi.org/10.1109/fuzz.2001.1008925","title":"Compact TS-fuzzy models through clustering and OLS plus FIS model reduction","display_name":"Compact TS-fuzzy models through clustering and OLS plus FIS model reduction","publication_year":2002,"publication_date":"2002-11-14","ids":{"openalex":"https://openalex.org/W2145070997","doi":"https://doi.org/10.1109/fuzz.2001.1008925","mag":"2145070997"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2001.1008925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1008925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","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/A5063684561","display_name":"J\u00e1nos Abonyi","orcid":"https://orcid.org/0000-0001-8593-1493"},"institutions":[{"id":"https://openalex.org/I4210127496","display_name":"Veszpr\u00e9mi \u00c9rseki Hittudom\u00e1nyi F\u00f5iskola","ror":"https://ror.org/03js41c71","country_code":"HU","type":"education","lineage":["https://openalex.org/I4210127496"]},{"id":"https://openalex.org/I140275651","display_name":"University of Pannonia","ror":"https://ror.org/03y5egs41","country_code":"HU","type":"education","lineage":["https://openalex.org/I140275651"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"J. Abonyi","raw_affiliation_strings":["Dep. of Process Engineering, University of Veszprem, Hungary"],"affiliations":[{"raw_affiliation_string":"Dep. of Process Engineering, University of Veszprem, Hungary","institution_ids":["https://openalex.org/I4210127496","https://openalex.org/I140275651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012114137","display_name":"Johannes A. Roubos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148715","display_name":"Dutch Network of Systems and Control","ror":"https://ror.org/04jrdcy74","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210148715"]},{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J.A. Roubos","raw_affiliation_strings":["Dep. of Information Technology and Systems, Systems and Control Engineering, Delft, The Netherlands","Department of Information Technology and Systems, Systems and Control Engineering, Delft University of Technnology, Delft, Netherlands"],"affiliations":[{"raw_affiliation_string":"Dep. of Information Technology and Systems, Systems and Control Engineering, Delft, The Netherlands","institution_ids":["https://openalex.org/I4210148715"]},{"raw_affiliation_string":"Department of Information Technology and Systems, Systems and Control Engineering, Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027426696","display_name":"M. Oosterom","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148715","display_name":"Dutch Network of Systems and Control","ror":"https://ror.org/04jrdcy74","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210148715"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"M. Oosterom","raw_affiliation_strings":["Dep. of Information Technology and Systems, Systems and Control Engineering, Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Dep. of Information Technology and Systems, Systems and Control Engineering, Delft, The Netherlands","institution_ids":["https://openalex.org/I4210148715"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008161622","display_name":"Ferenc Szeifert","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127496","display_name":"Veszpr\u00e9mi \u00c9rseki Hittudom\u00e1nyi F\u00f5iskola","ror":"https://ror.org/03js41c71","country_code":"HU","type":"education","lineage":["https://openalex.org/I4210127496"]},{"id":"https://openalex.org/I140275651","display_name":"University of Pannonia","ror":"https://ror.org/03y5egs41","country_code":"HU","type":"education","lineage":["https://openalex.org/I140275651"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"F. Szeifert","raw_affiliation_strings":["Dep. of Process Engineering, University of Veszprem, Hungary"],"affiliations":[{"raw_affiliation_string":"Dep. of Process Engineering, University of Veszprem, Hungary","institution_ids":["https://openalex.org/I4210127496","https://openalex.org/I140275651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063684561"],"corresponding_institution_ids":["https://openalex.org/I140275651","https://openalex.org/I4210127496"],"apc_list":null,"apc_paid":null,"fwci":3.4092,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.9308464,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1420","last_page":"1423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9966999888420105,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6699983477592468},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5986857414245605},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5021002292633057},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4992988109588623},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4705755114555359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4567074477672577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4537293612957001},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4418882131576538},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43855246901512146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4068987965583801},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39647382497787476},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38226306438446045}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6699983477592468},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5986857414245605},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5021002292633057},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4992988109588623},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4705755114555359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4567074477672577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4537293612957001},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4418882131576538},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43855246901512146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4068987965583801},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39647382497787476},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38226306438446045},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz.2001.1008925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1008925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.16.3623","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.3623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.fmt.vein.hu/softcomp/Abonyi01-IEEFS.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322192","display_name":"Magyar Tudom\u00e1nyos Akad\u00e9mia","ror":"https://ror.org/02ks8qq67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1497915736","https://openalex.org/W1554663460","https://openalex.org/W1560688497","https://openalex.org/W1608536601","https://openalex.org/W1642820549","https://openalex.org/W2079325629","https://openalex.org/W2103499201","https://openalex.org/W2128874412","https://openalex.org/W2131130331","https://openalex.org/W2131256974","https://openalex.org/W2134114621","https://openalex.org/W2140464249","https://openalex.org/W2161171165","https://openalex.org/W2165550819","https://openalex.org/W4233391551","https://openalex.org/W4388297464","https://openalex.org/W6679768725","https://openalex.org/W6684616392"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4312412183","https://openalex.org/W3192757256"],"abstract_inverted_index":{"Identification":[0],"of":[1,14,64,73,94,117],"uncertain":[2],"and":[3,9,90,136],"nonlinear":[4,123],"systems":[5],"is":[6,60,101,113],"an":[7,79],"important":[8],"challenging":[10],"problem.":[11],"Fuzzy":[12],"models":[13],"the":[15,68,74,87,118],"Takagi-Sugeno":[16],"(TS)":[17],"type":[18],"may":[19],"be":[20,47],"a":[21,38,55,98],"good":[22],"choice":[23],"to":[24,41,50],"describe":[25],"such":[26],"systems;":[27],"however,":[28],"in":[29],"many":[30],"cases":[31],"these":[32],"become":[33],"soon":[34],"complex.":[35],"We":[36],"propose":[37],"three-step":[39],"method":[40,59,84,100],"obtain":[42],"compact":[43,65],"TS-models":[44],"that":[45],"can":[46],"effectively":[48],"used":[49],"represent":[51],"complex":[52],"systems:":[53],"1)":[54],"new":[56,99],"fuzzy":[57,138],"clustering":[58],"proposed":[61,102],"for":[62,92],"identification":[63,140],"TS-models;":[66],"2)":[67],"most":[69],"relevant":[70,95],"consequent":[71],"variables":[72],"TS-model":[75],"are":[76,127],"selected":[77],"by":[78,115,132],"orthogonal":[80],"least":[81],"squares":[82],"(OLS)":[83],"based":[85,103],"on":[86,104],"obtained":[88,131],"clusters;":[89],"3)":[91],"selection":[93],"antecedent":[96],"variables,":[97],"Fisher's":[105],"interclass":[106],"separability":[107],"(FIS)":[108],"criterion.":[109],"The":[110],"overall":[111],"approach":[112],"demonstrated":[114],"means":[116],"MPG":[119],"(miles":[120],"per":[121],"gallon)":[122],"regression":[124],"benchmark.":[125],"Results":[126],"compared":[128],"with":[129],"those":[130],"standard":[133],"linear,":[134],"neuro-fuzzy":[135],"advanced":[137],"clustering-based":[139],"tools.":[141]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
