{"id":"https://openalex.org/W2118744277","doi":"https://doi.org/10.1109/fskd.2008.143","title":"A New Approach to Parameters Identification of Fuzzy Regression Models","display_name":"A New Approach to Parameters Identification of Fuzzy Regression Models","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2118744277","doi":"https://doi.org/10.1109/fskd.2008.143","mag":"2118744277"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2008.143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5091553280","display_name":"Fengqiu Liu","orcid":"https://orcid.org/0000-0002-4063-4337"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengqiu Liu","raw_affiliation_strings":["Dept. of Appl. Math., Harbin Univ. of Sci. & Technol., Harbin"],"affiliations":[{"raw_affiliation_string":"Dept. of Appl. Math., Harbin Univ. of Sci. & Technol., Harbin","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759190","display_name":"Jianmin Wang","orcid":"https://orcid.org/0000-0003-2427-6979"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Wang","raw_affiliation_strings":["Dept. of Autom. test & control, Harbin Inst. of Technol., Harbin"],"affiliations":[{"raw_affiliation_string":"Dept. of Autom. test & control, Harbin Inst. of Technol., Harbin","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100783074","display_name":"Yu Peng","orcid":"https://orcid.org/0000-0002-3315-5581"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Peng","raw_affiliation_strings":["Dept. of Autom. test & control, Harbin Inst. of Technol., Harbin"],"affiliations":[{"raw_affiliation_string":"Dept. of Autom. test & control, Harbin Inst. of Technol., Harbin","institution_ids":["https://openalex.org/I204983213"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.37,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":2,"citation_normalized_percentile":{"value":0.446565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":74},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"131"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9997,"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"}},"topics":[{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9997,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9968,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9729,"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/robust-regression","display_name":"Robust regression","score":0.44724834}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.62830424},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.62446773},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.52922845},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48825625},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.48206908},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.44724834},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.44016796},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.35576048},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34625435},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3217486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.317929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24947101}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2008.143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":9,"referenced_works":["https://openalex.org/W1975267279","https://openalex.org/W1987801991","https://openalex.org/W2063952558","https://openalex.org/W2070603388","https://openalex.org/W2079325629","https://openalex.org/W2094510831","https://openalex.org/W2095578821","https://openalex.org/W2329341088","https://openalex.org/W3000391989"],"related_works":["https://openalex.org/W4210897550","https://openalex.org/W4210813465","https://openalex.org/W3125536267","https://openalex.org/W3121734683","https://openalex.org/W2521753262","https://openalex.org/W2274645452","https://openalex.org/W2085680114","https://openalex.org/W1999706086","https://openalex.org/W1996044351","https://openalex.org/W1600426151"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,78,127],"new":[3],"approach":[4],"to":[5,15,33,56,101,126],"parameters":[6,75],"identification":[7],"of":[8,38,47,74,105,130,135],"the":[9,16,27,44,51,57,72,81,87,94,102,114,120,133,141],"fuzzy":[10,29,36,48,82,115],"regression":[11,62,83,116],"model":[12],"with":[13],"respect":[14],"e-insensitive":[17,68,88],"estimator":[18,89,97],"in":[19,59],"this":[20],"paper.":[21],"The":[22,110],"proposed":[23,121],"method":[24,122],"firstly":[25],"employs":[26],"improved":[28],"c-mean":[30],"clustering":[31],"algorithm":[32],"carry":[34],"out":[35],"partition":[37],"input-output":[39],"data":[40],"pairs,":[41],"which":[42,70],"ascertains":[43],"membership":[45],"functions":[46],"system.":[49],"Secondly,":[50],"quadratic":[52],"convex":[53],"optimization":[54,58],"similar":[55],"support":[60],"vector":[61],"machine":[63],"is":[64,98],"obtained":[65],"based":[66,85,92,118,139],"on":[67,86,93,119,140],"estimator,":[69],"guarantees":[71],"feasibility":[73],"identification.":[76],"Besides,":[77],"comparison":[79],"between":[80],"system":[84],"and":[90,132],"that":[91,113,138],"least":[95,142],"square":[96,108],"made":[99],"according":[100],"performance":[103],"index":[104],"root":[106],"mean":[107],"error.":[109],"results":[111],"show":[112],"models":[117],"are":[123],"more":[124],"insensitive":[125],"small":[128],"number":[129,134],"outliers":[131],"clusters":[136],"than":[137],"squares":[143],"estimator.":[144]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2118744277","counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2024-12-10T08:47:12.724439","created_date":"2016-06-24"}