{"id":"https://openalex.org/W2121812437","doi":"https://doi.org/10.1109/fuzzy.2009.5277126","title":"Optimization of multiple model fuzzy systems using RCGKA and their application","display_name":"Optimization of multiple model fuzzy systems using RCGKA and their application","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2121812437","doi":"https://doi.org/10.1109/fuzzy.2009.5277126","mag":"2121812437"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2009.5277126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5091775726","display_name":"Young-Keun Bang","orcid":null},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Y. K. Bang","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Kangwon University, Chuncheon, South Korea","Department of electrical and electronics engineering, Hyojadong 192-1, Chunchon, Kangwon National University, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Kangwon University, Chuncheon, South Korea","institution_ids":["https://openalex.org/I165507594"]},{"raw_affiliation_string":"Department of electrical and electronics engineering, Hyojadong 192-1, Chunchon, Kangwon National University, Korea","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019516578","display_name":"C. H. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"C. H. Lee","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Kangwon University, Chuncheon, South Korea","Department of electrical and electronics engineering, Hyojadong 192-1, Chunchon, Kangwon National University, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Kangwon University, Chuncheon, South Korea","institution_ids":["https://openalex.org/I165507594"]},{"raw_affiliation_string":"Department of electrical and electronics engineering, Hyojadong 192-1, Chunchon, Kangwon National University, Korea","institution_ids":["https://openalex.org/I165507594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091775726"],"corresponding_institution_ids":["https://openalex.org/I165507594"],"apc_list":null,"apc_paid":null,"fwci":0.4362,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73567345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"325","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9995999932289124,"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/T10820","display_name":"Fuzzy Logic and Control Systems","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/T10320","display_name":"Neural Networks and Applications","score":0.9977999925613403,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6504954099655151},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5965915322303772},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5653474926948547},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5636932253837585},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5496078133583069},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5193670392036438},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5055224895477295},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4737741947174072},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4196040630340576},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4183204770088196},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.41170552372932434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.320533812046051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2937357723712921},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2176264524459839}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6504954099655151},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5965915322303772},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5653474926948547},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5636932253837585},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5496078133583069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5193670392036438},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5055224895477295},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4737741947174072},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4196040630340576},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4183204770088196},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.41170552372932434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.320533812046051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2937357723712921},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2176264524459839},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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.2009.5277126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W104011241","https://openalex.org/W1967314081","https://openalex.org/W2044967717","https://openalex.org/W2050288270","https://openalex.org/W2065894002","https://openalex.org/W2132524935","https://openalex.org/W2144585144","https://openalex.org/W2156019969","https://openalex.org/W2177267034","https://openalex.org/W6604270456"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"One":[0],"of":[1,6,29,130,140,152,170,180,192],"the":[2,14,24,56,64,68,83,95,100,108,118,128,131,141,149,153,160,168,177,181,190,193],"most":[3],"important":[4],"goals":[5],"time":[7,33,136,171,182,199],"series":[8,34,172,200],"analysis":[9],"is":[10,19,92,124,145],"prediction":[11,61,86,162,195],"basing":[12],"on":[13],"analyzed":[15],"information.":[16],"But":[17],"it":[18],"not":[20],"easy":[21],"to":[22,80,93,126,146],"analyze":[23],"patterns,":[25],"regularities":[26],"and":[27,41,49,73,106,173],"trends":[28],"non-stationary":[30,135],"and/or":[31],"chaos":[32],"because":[35],"their":[36],"major":[37],"characteristics":[38,169],"are":[39,78],"non-linear":[40],"vague.":[42],"In":[43,63,114],"this":[44,186],"paper,":[45,187],"we":[46,188],"propose":[47],"primary":[48,65,89],"secondary":[50,115,142],"tuning":[51,66,90,116,143,158],"procedures":[52],"that":[53],"can":[54],"enhance":[55,127],"accuracy":[57],"for":[58,103],"designing":[59],"fuzzy":[60,85,101,150],"systems.":[62,87],"procedure,":[67,117],"data":[69],"preprocessing,":[70],"model":[71],"selection":[72],"general":[74],"k-means":[75,121],"clustering":[76],"techniques":[77],"used":[79,125],"roughly":[81],"tune":[82,148],"proposed":[84,161,194],"The":[88,138],"procedure":[91,144],"choose":[94],"optimal":[96,109],"difference":[97,110],"candidates,":[98],"partition":[99],"sets":[102,151],"each":[104],"candidate,":[105],"select":[107],"interval":[111],"(or":[112],"predictor).":[113],"real-coded":[119],"genetic":[120],"algorithm":[122],"(RCGKA)":[123],"efficiency":[129],"clusters":[132],"associated":[133],"with":[134],"series.":[137,183],"purpose":[139],"finely":[147],"selected":[154],"predictor.":[155],"With":[156],"two":[157],"procedures,":[159],"systems":[163,196],"will":[164],"reflect":[165],"more":[166,175],"clearly":[167],"predict":[174],"accurately":[176],"future":[178],"values":[179],"Finally,":[184],"in":[185],"verified":[189],"performances":[191],"via":[197],"typical":[198],"simulations.":[201]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
