{"id":"https://openalex.org/W2096785079","doi":"https://doi.org/10.1109/ijcnn.2008.4633997","title":"Learning associations of conjuncted fuzzy sets for data prediction","display_name":"Learning associations of conjuncted fuzzy sets for data prediction","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2096785079","doi":"https://doi.org/10.1109/ijcnn.2008.4633997","mag":"2096785079"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4633997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5110219608","display_name":"Hanlin Goh","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Hanlin Goh","raw_affiliation_strings":["Computer Vision and Image Understanding Department, Institute for Infocomm Research, ASTAR (Agency for Science, Technology & Research), Singapore","Comput. Vision & Image Understanding Dept., A*STAR (Agency for Sci., Technol. & Res.), Singapore"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Image Understanding Department, Institute for Infocomm Research, ASTAR (Agency for Science, Technology & Research), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Comput. Vision & Image Understanding Dept., A*STAR (Agency for Sci., Technol. & Res.), Singapore","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077258552","display_name":"Joo\u2010Hwee Lim","orcid":"https://orcid.org/0000-0002-4103-3824"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Joo-Hwee Lim","raw_affiliation_strings":["Computer Vision and Image Understanding Department, Institute for Infocomm Research, ASTAR (Agency for Science, Technology & Research), Singapore","Comput. Vision & Image Understanding Dept., A*STAR (Agency for Sci., Technol. & Res.), Singapore"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Image Understanding Department, Institute for Infocomm Research, ASTAR (Agency for Science, Technology & Research), Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]},{"raw_affiliation_string":"Comput. Vision & Image Understanding Dept., A*STAR (Agency for Sci., Technol. & Res.), Singapore","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063229067","display_name":"Chai Quek","orcid":"https://orcid.org/0000-0002-7313-4339"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chai Quek","raw_affiliation_strings":["Centre for Computational Intelligence, School of Computer Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"Centre for Computational Intelligence, School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110219608"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09156079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"1515","last_page":"1522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9962000250816345,"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":0.9962000250816345,"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":0.9947999715805054,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/hebbian-theory","display_name":"Hebbian theory","score":0.6821613311767578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.631519079208374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6029249429702759},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5637286305427551},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5337767601013184},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5172720551490784},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.507794201374054},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4876050055027008},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4862712621688843},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.46707963943481445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4315703809261322},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4224089980125427},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4206163287162781},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.41924017667770386},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.41000309586524963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3705403208732605},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.29886752367019653},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.27069535851478577}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.6821613311767578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.631519079208374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6029249429702759},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5637286305427551},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5337767601013184},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5172720551490784},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.507794201374054},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4876050055027008},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4862712621688843},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.46707963943481445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4315703809261322},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4224089980125427},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4206163287162781},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.41924017667770386},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41000309586524963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3705403208732605},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.29886752367019653},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.27069535851478577},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2008.4633997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.879.4405","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.879.4405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Chai_Quek/publication/221533512_Learning_associations_of_conjuncted_fuzzy_sets_for_data_prediction/links/0fcfd50a5c3e8b9f51000000.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W635500860","https://openalex.org/W1570834090","https://openalex.org/W1973033639","https://openalex.org/W1976608231","https://openalex.org/W1982321984","https://openalex.org/W1988878611","https://openalex.org/W1992176519","https://openalex.org/W2004873643","https://openalex.org/W2009377205","https://openalex.org/W2011089314","https://openalex.org/W2011888061","https://openalex.org/W2014845093","https://openalex.org/W2016415759","https://openalex.org/W2019207321","https://openalex.org/W2020889369","https://openalex.org/W2046738003","https://openalex.org/W2059148040","https://openalex.org/W2079325629","https://openalex.org/W2093487943","https://openalex.org/W2104187659","https://openalex.org/W2104803391","https://openalex.org/W2116841002","https://openalex.org/W2128431497","https://openalex.org/W2133067035","https://openalex.org/W2133085637","https://openalex.org/W2144276202","https://openalex.org/W2144397661","https://openalex.org/W2155418520","https://openalex.org/W2156060469","https://openalex.org/W2156909104","https://openalex.org/W2159371584","https://openalex.org/W2162635690","https://openalex.org/W2168692774","https://openalex.org/W2317267179","https://openalex.org/W2633139931","https://openalex.org/W2994602346","https://openalex.org/W3148499377","https://openalex.org/W4211016065","https://openalex.org/W4249749961","https://openalex.org/W4251149283","https://openalex.org/W6739414810"],"related_works":["https://openalex.org/W4321853849","https://openalex.org/W2590565095","https://openalex.org/W2896927215","https://openalex.org/W3180828476","https://openalex.org/W4387853727","https://openalex.org/W1950019275","https://openalex.org/W4285340753","https://openalex.org/W1994470380","https://openalex.org/W2184441312","https://openalex.org/W1520894008"],"abstract_inverted_index":{"Fuzzy":[0],"associative":[1],"conjuncted":[2,43],"maps":[3,36],"(FASCOM)":[4],"is":[5],"a":[6,21,61,88,101,141],"fuzzy":[7,15,38,53,79],"neural":[8],"network":[9,29,110],"that":[10,82],"represents":[11],"information":[12,76],"by":[13],"conjuncting":[14],"sets":[16],"and":[17,25,33,47,49,111,140],"associates":[18],"them":[19],"through":[20,60],"combination":[22],"of":[23,65,96,116],"unsupervised":[24,71],"supervised":[26,89,102],"learning.":[27],"The":[28,148],"first":[30],"quantizes":[31],"input":[32,118],"output":[34,121],"feature":[35,85,122],"using":[37,131],"sets.":[39],"They":[40],"are":[41,58],"subsequently":[42],"to":[44,51],"form":[45,52],"antecedents":[46],"consequences,":[48],"associated":[50],"if-then":[54],"rules.":[55],"These":[56],"associations":[57],"learnt":[59],"learning":[62,91],"process":[63],"consisting":[64],"three":[66,135],"consecutive":[67],"phases.":[68],"First,":[69],"an":[70,117],"phase":[72,92,105],"initializes":[73],"based":[74],"on":[75],"density":[77,145],"the":[78,97,107,109,113,156],"membership":[80],"functions":[81],"partition":[83],"each":[84],"map.":[86],"Next,":[87],"Hebbian":[90],"encodes":[93],"synaptic":[94],"weights":[95],"input-output":[98],"associations.":[99],"Finally,":[100],"error":[103],"reduction":[104],"fine-tunes":[106,108],"discovers":[112],"varying":[114],"influence":[115],"dimension":[119],"across":[120],"space.":[123],"FASCOM":[124],"was":[125],"benchmarked":[126],"against":[127],"other":[128],"prominent":[129],"architectures":[130],"data":[132,137,161],"taken":[133],"from":[134],"nonlinear":[136],"estimation":[138],"tasks":[139],"real-world":[142],"road":[143],"traffic":[144],"prediction":[146,162],"problem.":[147],"promising":[149],"results":[150],"compiled":[151],"show":[152],"significant":[153],"improvements":[154],"over":[155],"state-of-the-art":[157],"for":[158],"all":[159],"four":[160],"tasks.":[163]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}