{"id":"https://openalex.org/W2941855598","doi":"https://doi.org/10.1109/access.2019.2911626","title":"A New Method to Determine Generalized Basic Probability Assignment in the Open World","display_name":"A New Method to Determine Generalized Basic Probability Assignment in the Open World","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2941855598","doi":"https://doi.org/10.1109/access.2019.2911626","mag":"2941855598"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2911626","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2911626","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2019.2911626","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111089828","display_name":"Renliang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Renliang Sun","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741983","display_name":"Yong Deng","orcid":"https://orcid.org/0000-0001-9286-2123"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Deng","raw_affiliation_strings":["Department of Biostatistics, Vanderbilt University, Nashville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Vanderbilt University, Nashville, TN, USA","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111089828"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.1777,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97525591,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"52827","last_page":"52835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9930999875068665,"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":0.9930999875068665,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.991100013256073,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9819999933242798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5806256532669067},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5595568418502808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5266786813735962},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.4663694500923157},{"id":"https://openalex.org/keywords/minimum-spanning-tree","display_name":"Minimum spanning tree","score":0.4528617560863495},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3680693507194519},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34391218423843384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29734718799591064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21625873446464539},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09523651003837585},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07602196931838989}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5806256532669067},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5595568418502808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5266786813735962},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.4663694500923157},{"id":"https://openalex.org/C13743678","wikidata":"https://www.wikidata.org/wiki/Q240464","display_name":"Minimum spanning tree","level":2,"score":0.4528617560863495},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3680693507194519},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34391218423843384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29734718799591064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21625873446464539},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09523651003837585},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07602196931838989},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2911626","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2911626","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4b240af24abd46f8a0e7255189ecb0fc","is_oa":true,"landing_page_url":"https://doaj.org/article/4b240af24abd46f8a0e7255189ecb0fc","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 52827-52835 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2911626","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2911626","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G452121253","display_name":null,"funder_award_id":"61573290","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4935958239","display_name":null,"funder_award_id":"61503237","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1550067492","https://openalex.org/W2008274248","https://openalex.org/W2048196003","https://openalex.org/W2066843515","https://openalex.org/W2117161742","https://openalex.org/W2176632791","https://openalex.org/W2182381755","https://openalex.org/W2332724486","https://openalex.org/W2396175900","https://openalex.org/W2406470551","https://openalex.org/W2584983011","https://openalex.org/W2585170063","https://openalex.org/W2585607057","https://openalex.org/W2593763840","https://openalex.org/W2594165429","https://openalex.org/W2611982482","https://openalex.org/W2623978803","https://openalex.org/W2709480298","https://openalex.org/W2753546593","https://openalex.org/W2766741806","https://openalex.org/W2766907683","https://openalex.org/W2769128709","https://openalex.org/W2776176331","https://openalex.org/W2788653635","https://openalex.org/W2789892414","https://openalex.org/W2789899841","https://openalex.org/W2790443852","https://openalex.org/W2792688412","https://openalex.org/W2793525053","https://openalex.org/W2796431025","https://openalex.org/W2797241499","https://openalex.org/W2889405224","https://openalex.org/W2891187595","https://openalex.org/W2892289830","https://openalex.org/W2893661446","https://openalex.org/W2897519443","https://openalex.org/W2897955872","https://openalex.org/W2900269378","https://openalex.org/W2900537829","https://openalex.org/W2900772550","https://openalex.org/W2902529395","https://openalex.org/W2907324271","https://openalex.org/W2909019257","https://openalex.org/W2913054510","https://openalex.org/W2913298360","https://openalex.org/W2913617953","https://openalex.org/W2915034459","https://openalex.org/W2918279003","https://openalex.org/W2920894740","https://openalex.org/W2921842513","https://openalex.org/W2923538238","https://openalex.org/W2940445547","https://openalex.org/W2948852302","https://openalex.org/W2964184366","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W2418231958","https://openalex.org/W4220955759","https://openalex.org/W1977638783","https://openalex.org/W1185300216","https://openalex.org/W1561849181","https://openalex.org/W2139839243","https://openalex.org/W2390742649","https://openalex.org/W2100333645","https://openalex.org/W4313245519","https://openalex.org/W2956626181"],"abstract_inverted_index":{"Dempster-Shafer":[0],"evidence":[1],"theory":[2,34],"(D-S":[3],"theory)":[4],"is":[5,35,68,147],"a":[6,37,52,63,132],"very":[7],"useful":[8],"tool":[9],"to":[10,21,55,110,134,155,161],"solve":[11],"problems":[12],"in":[13,32,42,58,72,82],"the":[14,43,59,92,112,122,138,143,171],"field":[15],"of":[16,39,79,84,101,137,145,173],"information":[17],"fusion.":[18],"But":[19],"how":[20],"determine":[22,56,141],"generalized":[23],"basic":[24],"probability":[25],"assignment":[26],"(GBPA)":[27],"more":[28],"accurately":[29],"and":[30],"efficiently":[31],"D-S":[33],"still":[36],"matter":[38],"debate,":[40],"especially":[41],"open":[44,60],"world.":[45,61],"In":[46],"this":[47],"paper,":[48],"we":[49,129],"put":[50,130],"forward":[51,131],"new":[53,117],"method":[54],"GBPA":[57,136,146,159],"First,":[62],"minimum":[64],"spanning":[65],"tree":[66],"(MST)":[67],"established":[69],"for":[70,94],"samples":[71],"each":[73,85],"known":[74],"class.":[75],"The":[76,98,164],"covering":[77,114],"radius":[78],"every":[80,102],"edge":[81],"MST":[83,99,113,123],"class":[86,103],"will":[87,104],"be":[88,105,120,156,162],"generated":[89],"based":[90],"on":[91,167],"formula":[93,133],"generating":[95],"improved":[96],"radius.":[97],"coverage":[100],"established.":[106],"Combine":[107],"these":[108],"coverages":[109,124],"form":[111],"model.":[115],"Each":[116],"sample":[118],"should":[119],"justified":[121],"it":[125],"belongs":[126],"to.":[127],"Then,":[128],"generate":[135],"sample.":[139],"Finally,":[140],"whether":[142],"sum":[144],"smaller":[148],"than":[149],"1.":[150],"If":[151],"so,":[152],"m(\u00d8)":[153],"needs":[154,160],"generated.":[157],"Otherwise,":[158],"standardized.":[163],"experimental":[165],"results":[166],"Iris":[168],"dataset":[169],"prove":[170],"effectiveness":[172],"our":[174],"method.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":26}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}