{"id":"https://openalex.org/W3108320901","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263667","title":"Evaluation of Flight Test Data Quality Based on Rough Set Theory","display_name":"Evaluation of Flight Test Data Quality Based on Rough Set Theory","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3108320901","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263667","mag":"3108320901"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5003239155","display_name":"Xiangwei Kong","orcid":"https://orcid.org/0000-0002-0851-6752"},"institutions":[{"id":"https://openalex.org/I4210095084","display_name":"Zhongji Test Equipment (China)","ror":"https://ror.org/00p24re17","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210095084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kong Xiangwei","raw_affiliation_strings":["China Flight Test Establishment,Testing Technology Institute,Xi'an,China","Testing Technology Institute, China Flight Test Establishment, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"China Flight Test Establishment,Testing Technology Institute,Xi'an,China","institution_ids":["https://openalex.org/I4210095084"]},{"raw_affiliation_string":"Testing Technology Institute, China Flight Test Establishment, Xi'an, China","institution_ids":["https://openalex.org/I4210095084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003239155"],"corresponding_institution_ids":["https://openalex.org/I4210095084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18865395,"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":"1053","last_page":"1057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9858999848365784,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9483000040054321,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/test-data","display_name":"Test data","score":0.6260998249053955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6055338978767395},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6032741665840149},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.6027874946594238},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.5957537293434143},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5944174528121948},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5098792314529419},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47068196535110474},{"id":"https://openalex.org/keywords/test-method","display_name":"Test method","score":0.44311606884002686},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4282165765762329},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4232103228569031},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4154525101184845},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.37577202916145325},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2399371862411499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23907533288002014},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14749902486801147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12038463354110718}],"concepts":[{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.6260998249053955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055338978767395},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6032741665840149},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.6027874946594238},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5957537293434143},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5944174528121948},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5098792314529419},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47068196535110474},{"id":"https://openalex.org/C132519959","wikidata":"https://www.wikidata.org/wiki/Q3077373","display_name":"Test method","level":2,"score":0.44311606884002686},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4282165765762329},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4232103228569031},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4154525101184845},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.37577202916145325},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2399371862411499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23907533288002014},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14749902486801147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12038463354110718},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W763158900","https://openalex.org/W2090864231","https://openalex.org/W2131241925","https://openalex.org/W2148891353","https://openalex.org/W2348472162","https://openalex.org/W2371274532","https://openalex.org/W2767717096","https://openalex.org/W2811018847","https://openalex.org/W2884522970","https://openalex.org/W2921145407","https://openalex.org/W2970645629","https://openalex.org/W2971775307","https://openalex.org/W2989695488","https://openalex.org/W2999483278","https://openalex.org/W3006371160","https://openalex.org/W6745702508"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2094985717","https://openalex.org/W2991483587","https://openalex.org/W2187490799","https://openalex.org/W2170365398","https://openalex.org/W4233031093","https://openalex.org/W2354567518","https://openalex.org/W2475020399","https://openalex.org/W4236395861","https://openalex.org/W2005741104"],"abstract_inverted_index":{"With":[0],"the":[1,8,30,35,54,57,63,69,90,93,101,113,121,167],"continuous":[2],"development":[3],"of":[4,22,37,53,77,92,115,123,163,170],"flight":[5,116,127,149,171],"test":[6,9,117,124,130,143,146,150,172],"technology,":[7],"system":[10],"is":[11,59,67,76,140,159],"filled":[12],"with":[13],"massive,":[14],"multi-structured,":[15],"and":[16,47,74,145,155],"multi-dimensional":[17],"data":[18,24,38,58,70,82,125,131,151,156],"resources.":[19],"The":[20,49,161],"value":[21,36,91],"big":[23],"has":[25,39,105],"been":[26],"fully":[27],"recognized":[28],"by":[29],"society.":[31],"How":[32],"to":[33,71,88,100,110,120],"tap":[34],"become":[40],"an":[41],"application":[42],"in":[43,126],"various":[44],"research":[45],"fields":[46],"industries.":[48],"most":[50,64],"concerned":[51],"issue":[52],"field.":[55],"Whether":[56],"rubbish":[60],"or":[61],"treasure,":[62],"important":[65],"question":[66],"whether":[68],"be":[72],"analyzed":[73],"mined":[75],"high":[78],"quality.":[79],"A":[80],"low-quality":[81],"source":[83],"will":[84],"not":[85],"only":[86],"fail":[87],"reflect":[89],"data,":[94,118],"but":[95],"may":[96],"also":[97],"run":[98],"counter":[99],"actual":[102],"situation,":[103],"which":[104],"side":[106],"effects.":[107],"In":[108],"order":[109],"effectively":[111],"evaluate":[112],"quality":[114,132,152,157,168],"according":[119],"characteristics":[122],"test,":[128],"a":[129],"evaluation":[133,158,169],"method":[134,162],"based":[135],"on":[136],"rough":[137],"set":[138],"theory":[139],"proposed,":[141,154],"standard":[142],"methods":[144],"indicators":[147],"for":[148],"are":[153],"given.":[160],"rule":[164],"extraction":[165],"realizes":[166],"data.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}