{"id":"https://openalex.org/W3087663297","doi":"https://doi.org/10.3233/jifs-200191","title":"A Hybrid KNN algorithm with Sugeno measure for the personal credit reference system in China","display_name":"A Hybrid KNN algorithm with Sugeno measure for the personal credit reference system in China","publication_year":2020,"publication_date":"2020-09-18","ids":{"openalex":"https://openalex.org/W3087663297","doi":"https://doi.org/10.3233/jifs-200191","mag":"3087663297"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-200191","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-200191","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5086894713","display_name":"Lu Han","orcid":"https://orcid.org/0000-0002-1120-3220"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Han","raw_affiliation_strings":["School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114444382","display_name":"Zhi Su","orcid":"https://orcid.org/0009-0002-2758-6016"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Su","raw_affiliation_strings":["School of Finance, Central University of Finance and Economics, Beijing, China","School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Finance, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]},{"raw_affiliation_string":"School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061991728","display_name":"Jing Lin","orcid":"https://orcid.org/0000-0002-7458-6820"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lin","raw_affiliation_strings":["School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Central University of Finance and Economics, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5086894713"],"corresponding_institution_ids":["https://openalex.org/I137867983"],"apc_list":null,"apc_paid":null,"fwci":0.7823,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78695308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"39","issue":"5","first_page":"6993","last_page":"7004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9851999878883362,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9851999878883362,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9688000082969666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6885375380516052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6684023141860962},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6467565894126892},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6186843514442444},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.5775823593139648},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5537770390510559},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5233016610145569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3775350749492645}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6885375380516052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684023141860962},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6467565894126892},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6186843514442444},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.5775823593139648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5537770390510559},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5233016610145569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3775350749492645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-200191","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-200191","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W562506424","https://openalex.org/W1427937633","https://openalex.org/W1657901570","https://openalex.org/W1987403831","https://openalex.org/W2016854254","https://openalex.org/W2024278768","https://openalex.org/W2060394011","https://openalex.org/W2079471494","https://openalex.org/W2087171145","https://openalex.org/W2191006491","https://openalex.org/W2290145898","https://openalex.org/W2470484453","https://openalex.org/W2599457898","https://openalex.org/W2618670837","https://openalex.org/W2751466829","https://openalex.org/W2768519880","https://openalex.org/W2772069281","https://openalex.org/W2789350102","https://openalex.org/W2791723863","https://openalex.org/W2883807190","https://openalex.org/W2939009161","https://openalex.org/W2972750279","https://openalex.org/W2984694572","https://openalex.org/W3005084809","https://openalex.org/W3007548282","https://openalex.org/W3012018604","https://openalex.org/W3099758738"],"related_works":["https://openalex.org/W4200337363","https://openalex.org/W2157179134","https://openalex.org/W4285822644","https://openalex.org/W2002717340","https://openalex.org/W2788671511","https://openalex.org/W2087112025","https://openalex.org/W2151036524","https://openalex.org/W2350186934","https://openalex.org/W2187506573","https://openalex.org/W2994140543"],"abstract_inverted_index":{"Ever":[0],"increasing":[1],"ordinal":[2],"variables":[3],"are":[4],"being":[5],"collected":[6],"by":[7,30],"the":[8,51,70,80,85,101],"Personal":[9,71],"Credit":[10,72],"Reference":[11,73],"System":[12,74],"in":[13,95],"China,":[14],"however":[15],"this":[16,22,34,54],"system":[17],"suffers":[18],"from":[19,69],"analysis":[20],"of":[21,24,53,60],"kind":[23],"data,":[25],"which":[26],"cannot":[27],"be":[28],"calculated":[29],"Euclidean":[31,61],"distance.":[32],"In":[33],"study,":[35],"we":[36,48,64,98],"put":[37],"forward":[38],"a":[39],"hybrid":[40,102],"KNN":[41,96,103],"algorithm":[42,55,89,104],"based":[43],"on":[44],"Sugeno":[45],"measure,":[46],"and":[47,78,90],"prove":[49],"that":[50,59,100],"error":[52],"is":[56,105],"smaller":[57],"than":[58],"distance,":[62],"furthermore,":[63],"use":[65],"real":[66],"data":[67],"obtained":[68],"to":[75],"perform":[76],"experiments":[77],"get":[79],"user\u2019s":[81],"initial":[82],"portrait.":[83],"Through":[84],"comparisons":[86],"with":[87],"Kmeans":[88],"other":[91],"different":[92],"distance":[93],"measures":[94],"algorithm,":[97],"find":[99],"more":[106],"suitable":[107],"for":[108],"clustering":[109],"personal":[110],"credit":[111],"data.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}