{"id":"https://openalex.org/W2181487867","doi":"https://doi.org/10.1109/icmlc.2015.7340915","title":"Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values","display_name":"Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2181487867","doi":"https://doi.org/10.1109/icmlc.2015.7340915","mag":"2181487867"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5014819722","display_name":"An\u2010Ping Zeng","orcid":"https://orcid.org/0000-0001-9768-7096"},"institutions":[{"id":"https://openalex.org/I4210131342","display_name":"Yibin University","ror":"https://ror.org/03w8m2977","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131342"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anping Zeng","raw_affiliation_strings":["School of Computer and Information Engineering, Yibin University, Yibin, China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Yibin University, Yibin, China","institution_ids":["https://openalex.org/I4210131342"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070559820","display_name":"Tianrui Li","orcid":"https://orcid.org/0000-0001-7780-104X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Li","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034187026","display_name":"Chuan Luo","orcid":"https://orcid.org/0000-0002-4021-464X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Luo","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079102774","display_name":"Jie Hu","orcid":"https://orcid.org/0000-0002-0587-380X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hu","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014819722"],"corresponding_institution_ids":["https://openalex.org/I4210131342","https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09605678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9932000041007996,"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/T11106","display_name":"Data Management and Algorithms","score":0.9453999996185303,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/variation","display_name":"Variation (astronomy)","score":0.5812998414039612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.523823082447052},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49832916259765625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49823927879333496},{"id":"https://openalex.org/keywords/approximations-of-\u03c0","display_name":"Approximations of \u03c0","score":0.4520190358161926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36445432901382446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33986765146255493},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3286685347557068},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.18726038932800293}],"concepts":[{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5812998414039612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.523823082447052},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49832916259765625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49823927879333496},{"id":"https://openalex.org/C193386753","wikidata":"https://www.wikidata.org/wiki/Q1130396","display_name":"Approximations of \u03c0","level":2,"score":0.4520190358161926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36445432901382446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33986765146255493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3286685347557068},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.18726038932800293},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1989740172","https://openalex.org/W1997687853","https://openalex.org/W1999662701","https://openalex.org/W2027654459","https://openalex.org/W2035742098","https://openalex.org/W2040878788","https://openalex.org/W2050401513","https://openalex.org/W2054449235","https://openalex.org/W2056784354","https://openalex.org/W2093065243","https://openalex.org/W2111011053","https://openalex.org/W2132228935","https://openalex.org/W2137396323","https://openalex.org/W2163952039","https://openalex.org/W2326361224","https://openalex.org/W4253443895","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3133811809","https://openalex.org/W2321594810"],"abstract_inverted_index":{"With":[0],"the":[1,4,43,78],"development":[2],"of":[3,6,16,45,49,59,80],"Internet":[5],"Things":[7],"(IoT),":[8],"Hybrid":[9],"Information":[10],"Systems":[11],"(HIS)":[12],"collect":[13],"increasing":[14],"number":[15],"hybrid":[17,33],"data.":[18],"A":[19],"novel":[20],"Gaussian":[21],"kernel":[22],"Fuzzy":[23],"Rough":[24],"Sets":[25],"(FRS)":[26],"was":[27],"constructed":[28],"based":[29],"on":[30],"a":[31],"new":[32],"distance":[34],"in":[35,88],"our":[36],"previous":[37],"study.":[38],"In":[39,75],"real":[40],"applications,":[41],"with":[42],"deepening":[44],"cognition":[46],"or":[47,73],"improvement":[48],"technology,":[50],"attribute":[51,81],"values":[52,62,66,70,82],"often":[53],"change.":[54],"There":[55],"are":[56,63,67,71,90,99],"three":[57],"cases":[58],"changes:":[60],"missing":[61],"imputed,":[64],"error":[65],"corrected":[68],"and":[69,84,92],"coarsened":[72],"refined.":[74],"this":[76],"paper,":[77],"mechanisms":[79],"changes":[83],"fuzzy":[85],"e-quivalence":[86],"relation":[87],"FRS":[89],"analyzed,":[91],"several":[93],"incremental":[94],"approaches":[95],"for":[96],"updating":[97],"approximations":[98],"discussed.":[100]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}