{"id":"https://openalex.org/W2144532427","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6251330","title":"A similarity-based learning algorithm for fuzzy system identification with a two-layer optimization scheme","display_name":"A similarity-based learning algorithm for fuzzy system identification with a two-layer optimization scheme","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2144532427","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6251330","mag":"2144532427"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2012.6251330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6251330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","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/A5052639662","display_name":"Shin\u2010Jye Lee","orcid":"https://orcid.org/0000-0003-4265-5016"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shin-Jye Lee","raw_affiliation_strings":["Judge Business School, University of Cambridge, Cambridge, UK","Judge Business School, University of Cambridge, Trumpington Street, CB2 1AG, UK"],"affiliations":[{"raw_affiliation_string":"Judge Business School, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Judge Business School, University of Cambridge, Trumpington Street, CB2 1AG, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077623520","display_name":"Xiao\u2010Jun Zeng","orcid":"https://orcid.org/0000-0002-2320-2495"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiao-Jun Zeng","raw_affiliation_strings":["School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","School of Computer Science, University of Manchester, Kilburn Building, Oxford Road, M13 9PL, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"School of Computer Science, University of Manchester, Kilburn Building, Oxford Road, M13 9PL, UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052639662"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13359575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"8"},"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":0.9991999864578247,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.672716498374939},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.6407113671302795},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.58609539270401},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5824238061904907},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.5742140412330627},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.5531613826751709},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46799179911613464},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4679386019706726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46514737606048584},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.45235684514045715},{"id":"https://openalex.org/keywords/fuzzy-transportation","display_name":"Fuzzy transportation","score":0.4424574673175812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42651310563087463},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4259449541568756},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.42576029896736145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41044265031814575},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4064825177192688},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.39323779940605164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38306552171707153}],"concepts":[{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.672716498374939},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.6407113671302795},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.58609539270401},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5824238061904907},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.5742140412330627},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.5531613826751709},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46799179911613464},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4679386019706726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46514737606048584},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.45235684514045715},{"id":"https://openalex.org/C21214244","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy transportation","level":5,"score":0.4424574673175812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42651310563087463},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4259449541568756},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.42576029896736145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41044265031814575},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4064825177192688},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.39323779940605164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38306552171707153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fuzz-ieee.2012.6251330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6251330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/7ff03995-ed3c-4ba2-870f-b3028dba44bd","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/7ff03995-ed3c-4ba2-870f-b3028dba44bd","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lee, S J & Zeng, X J 2012, A similarity-based learning algorithm for fuzzy system identification with a two-layer optimization scheme. in IEEE International Conference on Fuzzy Systems|IEEE Int Conf Fuzzy Syst. IEEE, 2012 IEEE International Conference on Fuzzy Systems, FUZZ 2012, Brisbane, QLD, 1/07/12. https://doi.org/10.1109/FUZZ-IEEE.2012.6251330","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/7ff03995-ed3c-4ba2-870f-b3028dba44bd","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/a-similaritybased-learning-algorithm-for-fuzzy-system-identification-with-a-twolayer-optimization-scheme(7ff03995-ed3c-4ba2-870f-b3028dba44bd).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lee, S J & Zeng, X J 2012, A similarity-based learning algorithm for fuzzy system identification with a two-layer optimization scheme. in IEEE International Conference on Fuzzy Systems|IEEE Int Conf Fuzzy Syst. IEEE, 2012 IEEE International Conference on Fuzzy Systems, FUZZ 2012, Brisbane, QLD, 1/07/12. https://doi.org/10.1109/FUZZ-IEEE.2012.6251330","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1553483187","https://openalex.org/W1570834090","https://openalex.org/W1902998716","https://openalex.org/W1965198822","https://openalex.org/W1966036744","https://openalex.org/W1984049995","https://openalex.org/W1990368529","https://openalex.org/W2001255626","https://openalex.org/W2019606348","https://openalex.org/W2021347076","https://openalex.org/W2022062543","https://openalex.org/W2023502885","https://openalex.org/W2028188257","https://openalex.org/W2050288270","https://openalex.org/W2078094465","https://openalex.org/W2079325629","https://openalex.org/W2079622594","https://openalex.org/W2098725265","https://openalex.org/W2113076747","https://openalex.org/W2121565257","https://openalex.org/W2128539603","https://openalex.org/W2129013743","https://openalex.org/W2130218057","https://openalex.org/W2133267871","https://openalex.org/W2134961275","https://openalex.org/W2136340804","https://openalex.org/W2139182924","https://openalex.org/W2145479133","https://openalex.org/W2151863350","https://openalex.org/W2155399784","https://openalex.org/W2159265133","https://openalex.org/W2162635690","https://openalex.org/W2165948284","https://openalex.org/W2313953460","https://openalex.org/W2484004490","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4232430140","https://openalex.org/W4384274174"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W1485268022","https://openalex.org/W85606319","https://openalex.org/W1980652001","https://openalex.org/W2155303449","https://openalex.org/W2148346439","https://openalex.org/W2130902926","https://openalex.org/W2741782745"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,9,114,142],"similarity-based":[4],"fuzzy":[5,15,25,42,65,73,75,77,81,104,128],"learning":[6,26],"approach":[7],"with":[8],"two-layer":[10,115],"optimization":[11,46,108,117],"scheme":[12,47,109],"to":[13,23],"make":[14],"systems":[16,43],"more":[17],"compact":[18],"and":[19,44],"accuracy.":[20],"Two":[21],"ways":[22],"improve":[24],"algorithms":[27],"are":[28],"considered":[29],"in":[30,99,118],"this":[31],"paper,":[32],"including":[33],"the":[34,39,45,54,59,64,69,84,87,96,100,107,119,123,126],"pruning":[35,55],"strategy":[36,56],"for":[37,48,140],"simplifying":[38],"structure":[40],"of":[41,72,103,125],"parameters":[49,116,124],"optimization.":[50],"So":[51],"far":[52],"as":[53,113],"is":[57],"concerned,":[58],"purpose":[60],"aims":[61],"at":[62],"refining":[63],"rule":[66,101],"base":[67,102],"by":[68,94,134],"similarity":[70,85],"analysis":[71],"sets,":[74],"numbers,":[76],"membership":[78],"functions":[79],"or":[80],"rules.":[82],"Through":[83],"analysis,":[86],"complete":[88],"rules":[89,98],"can":[90,110],"be":[91,111],"probably":[92],"kept":[93],"decreasing":[95],"redundant":[97],"systems.":[105],"Moreover,":[106],"regarded":[112],"entire":[120],"work,":[121],"because":[122],"initial":[127],"model":[129],"have":[130],"been":[131],"fine":[132],"tuning":[133],"two":[135],"phases":[136],"gradation":[137],"on":[138],"layer":[139],"discovering":[141],"better":[143],"local":[144],"minimum.":[145]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}