{"id":"https://openalex.org/W2168617441","doi":"https://doi.org/10.1109/fuzzy.2008.4630446","title":"Improving the robustness of data-driven fuzzy systems with regularization","display_name":"Improving the robustness of data-driven fuzzy systems with regularization","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2168617441","doi":"https://doi.org/10.1109/fuzzy.2008.4630446","mag":"2168617441"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010578654","display_name":"Edwin Lughofer","orcid":"https://orcid.org/0000-0003-1560-5136"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Edwin Lughofer","raw_affiliation_strings":["Department of Knowledge-based Mathematical System, Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Knowledge-based Mathematical System, Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038887009","display_name":"Stefan Kindermann","orcid":"https://orcid.org/0000-0002-3688-5125"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stefan Kindermann","raw_affiliation_strings":["Industrial Mathematics Institute, Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Mathematics Institute, Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121883995"],"apc_list":null,"apc_paid":null,"fwci":1.7626,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86053755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"703","last_page":"709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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/T10320","display_name":"Neural Networks and Applications","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/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/T11236","display_name":"Control Systems and Identification","score":0.9710000157356262,"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/regularization","display_name":"Regularization (linguistics)","score":0.7054294347763062},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.578332781791687},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5271482467651367},{"id":"https://openalex.org/keywords/regularization-perspectives-on-support-vector-machines","display_name":"Regularization perspectives on support vector machines","score":0.4906534254550934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4865328371524811},{"id":"https://openalex.org/keywords/proximal-gradient-methods-for-learning","display_name":"Proximal gradient methods for learning","score":0.4767497479915619},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4646069407463074},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4630574882030487},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.4388349950313568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41471365094184875},{"id":"https://openalex.org/keywords/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.4069312512874603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4051051139831543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38576552271842957},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.2686501741409302}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7054294347763062},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.578332781791687},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5271482467651367},{"id":"https://openalex.org/C141718189","wikidata":"https://www.wikidata.org/wiki/Q7309628","display_name":"Regularization perspectives on support vector machines","level":4,"score":0.4906534254550934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4865328371524811},{"id":"https://openalex.org/C79248915","wikidata":"https://www.wikidata.org/wiki/Q17086776","display_name":"Proximal gradient methods for learning","level":5,"score":0.4767497479915619},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4646069407463074},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4630574882030487},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.4388349950313568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41471365094184875},{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.4069312512874603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4051051139831543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38576552271842957},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.2686501741409302},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2008.4630446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W4965458","https://openalex.org/W114314968","https://openalex.org/W635500860","https://openalex.org/W1501364645","https://openalex.org/W1536321898","https://openalex.org/W1554427862","https://openalex.org/W1560688497","https://openalex.org/W1570089119","https://openalex.org/W1965324089","https://openalex.org/W1979723107","https://openalex.org/W1998927233","https://openalex.org/W2003525885","https://openalex.org/W2005141442","https://openalex.org/W2019207321","https://openalex.org/W2021347076","https://openalex.org/W2023299560","https://openalex.org/W2033484654","https://openalex.org/W2049628044","https://openalex.org/W2062301117","https://openalex.org/W2062776218","https://openalex.org/W2066043610","https://openalex.org/W2078204800","https://openalex.org/W2079325629","https://openalex.org/W2095654738","https://openalex.org/W2103269436","https://openalex.org/W2106504576","https://openalex.org/W2112081648","https://openalex.org/W2115706991","https://openalex.org/W2128511080","https://openalex.org/W2128539603","https://openalex.org/W2139537204","https://openalex.org/W2147615893","https://openalex.org/W2149846618","https://openalex.org/W2151863350","https://openalex.org/W2152161790","https://openalex.org/W2153263874","https://openalex.org/W2153338257","https://openalex.org/W2160715021","https://openalex.org/W2162635690","https://openalex.org/W3146863510","https://openalex.org/W4233391551","https://openalex.org/W6600192464"],"related_works":["https://openalex.org/W2062975788","https://openalex.org/W2388364587","https://openalex.org/W2935233291","https://openalex.org/W2385735574","https://openalex.org/W2030398504","https://openalex.org/W4298516010","https://openalex.org/W2807240017","https://openalex.org/W2050033254","https://openalex.org/W2366023887","https://openalex.org/W2111475863"],"abstract_inverted_index":{"Regularization":[0],"is":[1,13,126],"an":[2,21,103,163],"important":[3],"aspect":[4],"whenever":[5],"a":[6,29,32,37,129],"matrix":[7,30],"inversion":[8,17],"during":[9],"the":[10,41,66,69,73,76,80,85,108,114,170,173],"training":[11,59],"phase":[12],"required,":[14],"as":[15],"this":[16,48],"may":[18],"lead":[19],"to":[20,44,55,117,120],"unstable":[22],"(ill-posed)":[23],"problem,":[24],"usually":[25],"simply":[26],"because":[27],"of":[28,60,68,75,82,87,131,172],"with":[31,128,139,144],"high":[33],"condition":[34],"or":[35],"even":[36],"singular":[38],"matrix,":[39],"guiding":[40],"learning":[42,70,86],"algorithm":[43],"wrong":[45],"solutions.":[46],"In":[47],"paper":[49,125],"we":[50,97],"present":[51],"regularization":[52,119],"issues":[53],"applied":[54],"off-line":[56],"and":[57,72,143,161,167,178],"on-line":[58],"Takagi-Sugeno":[61],"fuzzy":[62,122],"systems":[63],"for":[64,84,101],"increasing":[65],"robustness":[67],"procedure":[71],"accuracies":[74],"models.":[77,123],"After":[78],"defining":[79],"problem":[81],"ill-posedness":[83],"linear":[88],"consequent":[89],"parameters":[90],"(when":[91],"applying":[92],"least":[93],"squares":[94],"optimization":[95],"measure),":[96],"describe":[98,113],"several":[99],"methods":[100,175],"finding":[102],"optimal":[104],"parameter":[105],"setting":[106],"in":[107],"Tichonov":[109],"regularization.":[110],"We":[111],"also":[112],"way":[115],"how":[116],"apply":[118],"evolving":[121],"The":[124],"concluded":[127],"comparison":[130,148],"conventional":[132],"(not":[133],"regularized)":[134],"FLEXFIS":[135],"resp.":[136],"FLEXFIS-Class":[137],"method":[138],"their":[140],"regularized":[141,174],"extensions":[142],"(not-regularized)":[145],"genfis2.":[146],"This":[147],"will":[149,168],"be":[150],"based":[151],"on":[152,176],"high-dimensional":[153],"real-world":[154],"data":[155],"sets":[156],"from":[157,162],"engine":[158],"test":[159],"benches":[160],"image":[164],"classification":[165,179],"framework":[166],"underline":[169],"impact":[171],"prediction":[177],"accuracy.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
