{"id":"https://openalex.org/W2126598074","doi":"https://doi.org/10.1109/tfuzz.2010.2042960","title":"SparseFIS: Data-driven Learning of Fuzzy Systems with Sparsity Constraints","display_name":"SparseFIS: Data-driven Learning of Fuzzy Systems with Sparsity Constraints","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2126598074","doi":"https://doi.org/10.1109/tfuzz.2010.2042960","mag":"2126598074"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2010.2042960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2010.2042960","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-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/A5097381221","display_name":"Lughofer","orcid":null},"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":"Lughofer","raw_affiliation_strings":["Department of Knowledge based Mathematical Systems, Johannes Kepler University of Linz, Linz, Austria","Dept. of Knowledge-based Math. Syst., Johannes Kepler Univ. of Linz, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Knowledge based Mathematical Systems, Johannes Kepler University of Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Dept. of Knowledge-based Math. Syst., Johannes Kepler Univ. of 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":"Kindermann","raw_affiliation_strings":["Industrial Mathematics Institute, Johannes Kepler University of Linz, Linz, Austria","Ind. Math. Inst., Johannes Kepler Univ. of Linz, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Mathematics Institute, Johannes Kepler University of Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Ind. Math. Inst., Johannes Kepler Univ. of 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":8.7248,"has_fulltext":false,"cited_by_count":95,"citation_normalized_percentile":{"value":0.97737074,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9887999892234802,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.988099992275238,"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/fuzzy-rule","display_name":"Fuzzy rule","score":0.5320718288421631},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5076173543930054},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5000088214874268},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4823969602584839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4820783734321594},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4792642295360565},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45436009764671326},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43237632513046265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4080595374107361},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.40088313817977905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3875594735145569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3595712184906006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3294486105442047},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16112834215164185}],"concepts":[{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.5320718288421631},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5076173543930054},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5000088214874268},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4823969602584839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4820783734321594},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4792642295360565},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45436009764671326},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43237632513046265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4080595374107361},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.40088313817977905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3875594735145569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3595712184906006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3294486105442047},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16112834215164185}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2010.2042960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2010.2042960","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W49797043","https://openalex.org/W53188351","https://openalex.org/W635500860","https://openalex.org/W1027096445","https://openalex.org/W1501364645","https://openalex.org/W1536321898","https://openalex.org/W1554427862","https://openalex.org/W1554944419","https://openalex.org/W1560688497","https://openalex.org/W1561994953","https://openalex.org/W1570089119","https://openalex.org/W1570834090","https://openalex.org/W1576818901","https://openalex.org/W1594444054","https://openalex.org/W1597717349","https://openalex.org/W1922017469","https://openalex.org/W1966213225","https://openalex.org/W1987022245","https://openalex.org/W1987801991","https://openalex.org/W1998927233","https://openalex.org/W2005141442","https://openalex.org/W2009666499","https://openalex.org/W2013357884","https://openalex.org/W2019207321","https://openalex.org/W2020390700","https://openalex.org/W2023299560","https://openalex.org/W2024690006","https://openalex.org/W2026365342","https://openalex.org/W2037052971","https://openalex.org/W2049628044","https://openalex.org/W2092682490","https://openalex.org/W2092889036","https://openalex.org/W2095654738","https://openalex.org/W2097460058","https://openalex.org/W2101036899","https://openalex.org/W2103269436","https://openalex.org/W2109357213","https://openalex.org/W2112081648","https://openalex.org/W2113076747","https://openalex.org/W2113615806","https://openalex.org/W2115706991","https://openalex.org/W2116308743","https://openalex.org/W2117291757","https://openalex.org/W2124776405","https://openalex.org/W2128511080","https://openalex.org/W2128539603","https://openalex.org/W2131130331","https://openalex.org/W2139537204","https://openalex.org/W2140464249","https://openalex.org/W2142228262","https://openalex.org/W2145096794","https://openalex.org/W2145323081","https://openalex.org/W2149846618","https://openalex.org/W2152161790","https://openalex.org/W2168617441","https://openalex.org/W2188135839","https://openalex.org/W2206831136","https://openalex.org/W2271358270","https://openalex.org/W2296616510","https://openalex.org/W3098608218","https://openalex.org/W3146863510","https://openalex.org/W3176049587","https://openalex.org/W3215186461","https://openalex.org/W4205699531","https://openalex.org/W4233391551","https://openalex.org/W4236065546","https://openalex.org/W4238586295","https://openalex.org/W4250955649","https://openalex.org/W4300819821","https://openalex.org/W6602038731","https://openalex.org/W6633521410","https://openalex.org/W6647172677"],"related_works":["https://openalex.org/W2380784125","https://openalex.org/W2914806737","https://openalex.org/W3004057759","https://openalex.org/W2889085215","https://openalex.org/W2998216295","https://openalex.org/W33196642","https://openalex.org/W2611743072","https://openalex.org/W3118381369","https://openalex.org/W1822436433","https://openalex.org/W2135010468"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"deal":[4],"with":[5,45,103,221],"a":[6,37,83,89,111,125,150,175],"novel":[7],"data-driven":[8],"learning":[9,27,159],"method":[10,28,199],"[sparse":[11],"fuzzy":[12,19,60,101,233],"inference":[13],"systems":[14,102],"(SparseFIS)]":[15],"for":[16,154],"Takagi-Sugeno":[17],"(T-S)":[18],"systems,":[20],"extended":[21],"by":[22,109,149],"including":[23],"rule":[24,97,156,194],"weights.":[25],"Our":[26],"consists":[29],"of":[30,69,75,85,122,189,227,231],"three":[31],"phases:":[32],"The":[33,92,141,198],"first":[34],"phase":[35,94,143],"conducts":[36],"clustering":[38],"process":[39],"in":[40,65,99,165,192,225],"the":[41,51,59,66,70,73,96,100,118,145,186,217,232],"input/output":[42],"feature":[43,181],"space":[44],"iterative":[46],"vector":[47],"quantization":[48],"and":[49,63,81,211,219,229],"projects":[50],"obtained":[52],"clusters":[53,76],"onto":[54],"1-D":[55],"axes":[56],"to":[57,105,167,171],"form":[58],"sets":[61],"(centers":[62],"widths)":[64],"antecedent":[67],"parts":[68],"rules.":[71],"Hereby,":[72],"number":[74],"=":[77],"rules":[78,127,138],"is":[79,183,200,203],"predefined":[80],"denotes":[82],"kind":[84],"upper":[86],"bound":[87],"on":[88,117,205,213],"reasonable":[90],"granularity.":[91],"second":[93],"optimizes":[95],"weights":[98,121],"respect":[104],"least-squares":[106],"error":[107],"measure":[108],"applying":[110],"sparsity-constrained":[112],"steepest":[113],"descent-optimization":[114],"procedure.":[115],"Depending":[116],"sparsity":[119],"threshold,":[120],"many":[123],"or":[124],"few":[126],"can":[128],"be":[129,172],"forced":[130],"toward":[131],"0,":[132,173],"thereby,":[133],"switching":[134],"off":[135],"(eliminating)":[136],"some":[137,190],"(rule":[139],"selection).":[140],"third":[142],"estimates":[144],"linear":[146,169,187],"consequent":[147],"parameters":[148,170,188],"regularized":[151],"sparsity-constrained-optimization":[152],"procedure":[153],"each":[155,193],"separately":[157],"(local":[158],"approach).":[160],"Sparsity":[161],"constraints":[162],"are":[163,195],"applied":[164],"order":[166],"force":[168],"triggering":[174],"feature-selection":[176],"mechanism":[177],"per":[178],"rule.":[179],"Global":[180],"selection":[182],"achieved":[184],"whenever":[185],"features":[191],"(near)":[196],"0.":[197],"evaluated,":[201],"which":[202],"based":[204,212],"high-dimensional":[206],"data":[207],"from":[208,216],"industrial":[209],"processes":[210],"benchmark":[214],"datasets":[215],"Internet":[218],"compared":[220],"well-known":[222],"batch-training":[223],"methods,":[224],"terms":[226],"accuracy":[228],"complexity":[230],"systems.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":4}],"updated_date":"2026-02-25T21:11:00.739837","created_date":"2025-10-10T00:00:00"}
