{"id":"https://openalex.org/W2055350679","doi":"https://doi.org/10.1080/002077200290966","title":"Incorporating prior knowledge in fuzzy model identification","display_name":"Incorporating prior knowledge in fuzzy model identification","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2055350679","doi":"https://doi.org/10.1080/002077200290966","mag":"2055350679"},"language":"en","primary_location":{"id":"doi:10.1080/002077200290966","is_oa":false,"landing_page_url":"https://doi.org/10.1080/002077200290966","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","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/A5063684561","display_name":"J\u00e1nos Abonyi","orcid":"https://orcid.org/0000-0001-8593-1493"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J. Abonyi","raw_affiliation_strings":["Pannon University"],"affiliations":[{"raw_affiliation_string":"Pannon University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084264842","display_name":"Robert Babu\u0161ka","orcid":"https://orcid.org/0000-0001-9578-8598"},"institutions":[{"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":"R. Babuska","raw_affiliation_strings":["Delft University of Technology,,,,,"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology,,,,,","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052068009","display_name":"H.B. Verbruggen","orcid":null},"institutions":[{"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":"H. B. Verbruggen","raw_affiliation_strings":["Delft University of Technology,,,,,"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology,,,,,","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026696387","display_name":"F. Szeifert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F. Szeifert","raw_affiliation_strings":["Pannon University"],"affiliations":[{"raw_affiliation_string":"Pannon University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063684561"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.8784,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.97421697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"5","first_page":"657","last_page":"667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9998000264167786,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9991999864578247,"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/T11236","display_name":"Control Systems and Identification","score":0.9975000023841858,"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/identification","display_name":"Identification (biology)","score":0.7062543630599976},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6066771149635315},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5845488905906677},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5222585797309875},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49123233556747437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48237529397010803},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4719875156879425},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4640656113624573},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4427066147327423},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4329605996608734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42240551114082336},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.42240041494369507},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4134283661842346},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37187659740448},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3252318799495697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29657208919525146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29580116271972656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29564741253852844}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7062543630599976},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6066771149635315},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5845488905906677},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5222585797309875},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49123233556747437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48237529397010803},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4719875156879425},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4640656113624573},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4427066147327423},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4329605996608734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42240551114082336},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.42240041494369507},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4134283661842346},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37187659740448},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3252318799495697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29657208919525146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29580116271972656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29564741253852844},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/002077200290966","is_oa":false,"landing_page_url":"https://doi.org/10.1080/002077200290966","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1608536601","https://openalex.org/W1964735120","https://openalex.org/W1968326286","https://openalex.org/W1982656011","https://openalex.org/W1986922155","https://openalex.org/W1988718129","https://openalex.org/W1990428297","https://openalex.org/W2014693194","https://openalex.org/W2074554985","https://openalex.org/W2079325629","https://openalex.org/W2130915119","https://openalex.org/W2152777176"],"related_works":["https://openalex.org/W1990079087","https://openalex.org/W2060165215","https://openalex.org/W4388311650","https://openalex.org/W2101188133","https://openalex.org/W1974056099","https://openalex.org/W3202234113","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W5922282"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"algorithm":[4,103],"for":[5],"incorporating":[6],"a":[7,78],"priori":[8],"knowledge":[9,130],"into":[10,46],"data-driven":[11],"identification":[12,76,102],"of":[13,17,39,65,77,117],"dynamic":[14],"fuzzy":[15,85],"models":[16,111],"the":[18,23,36,50,75,100,115,118,125],"Takagi-Sugeno":[19],"type.":[20],"Knowledge":[21],"about":[22],"modelled":[24],"process":[25],"such":[26],"as":[27],"its":[28,40],"stability,":[29],"minimal":[30],"or":[31,35],"maximal":[32],"static":[33],"gain,":[34],"settling":[37],"time":[38],"step":[41],"response":[42],"can":[43],"be":[44],"translated":[45],"inequality":[47],"constraints":[48],"on":[49],"consequent":[51],"parameters.":[52],"By":[53],"using":[54],"input-output":[55],"data,":[56],"optimal":[57],"parameter":[58],"values":[59],"are":[60,108],"then":[61],"found":[62],"by":[63],"means":[64],"quadratic":[66],"programming.":[67],"The":[68,83],"proposed":[69,101],"approach":[70],"has":[71,87],"been":[72,88],"applied":[73],"to":[74,124],"laboratory":[79],"liquid":[80],"level":[81],"process.":[82],"obtained":[84,112],"model":[86],"used":[89],"in":[90],"model-based":[91,119],"predictive":[92],"control.":[93],"Real-time":[94],"control":[95],"results":[96],"show":[97],"that,":[98],"when":[99],"is":[104,131],"applied,":[105],"not":[106],"only":[107],"physically":[109],"justified":[110],"but":[113],"also":[114],"performance":[116],"controller":[120],"improves":[121],"with":[122],"regard":[123],"case":[126],"where":[127],"no":[128],"prior":[129],"involved.":[132]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
