{"id":"https://openalex.org/W2003449146","doi":"https://doi.org/10.1109/rams.2010.5448022","title":"Qualitative-Quantitative Bayesian Belief Networks for reliability and risk assessment","display_name":"Qualitative-Quantitative Bayesian Belief Networks for reliability and risk assessment","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2003449146","doi":"https://doi.org/10.1109/rams.2010.5448022","mag":"2003449146"},"language":"en","primary_location":{"id":"doi:10.1109/rams.2010.5448022","doi":"https://doi.org/10.1109/rams.2010.5448022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rams.2010.5448022","pdf_url":null,"source":{"id":"https://openalex.org/S4210171523","display_name":"Annual Reliability and Maintainability Symposium (RAMS)","issn_l":"0149-144X","issn":["0149-144X","2577-0993"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5100695475","display_name":"Chengdong Wang","orcid":"https://orcid.org/0000-0001-7391-0185","observed_orcids":["https://orcid.org/0000-0001-7391-0185"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengdong Wang","raw_affiliation_strings":["A. James Clark School of Engineering, University of Maryland, College Park, MD, USA","A. James Clark School of Engineering, University of Maryland, College Park, 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A. James Clark School of Engineering, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"A. James Clark School of Engineering, University of Maryland, College Park, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084581830","display_name":"Ali Mosleh","orcid":"https://orcid.org/0000-0002-4628-1050","observed_orcids":["https://orcid.org/0000-0002-4628-1050"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Mosleh","raw_affiliation_strings":["A. James Clark School of Engineering, University of Maryland, College Park, MD, USA","Room 0151F, Building 088, Glenn L. Martin Hall, A. James Clark School of Engineering, College Park, Maryland 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A. James Clark School of Engineering, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Room 0151F, Building 088, Glenn L. Martin Hall, A. James Clark School of Engineering, College Park, Maryland 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":2.0715,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84130146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.7285000085830688,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.7285000085830688,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.2632000148296356,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-networks","display_name":"Bayesian networks","score":0.9739999771118164},{"id":"https://openalex.org/keywords/expert-elicitation","display_name":"expert elicitation","score":0.5600000023841858},{"id":"https://openalex.org/keywords/reliability-analysis","display_name":"reliability analysis","score":0.7059999704360962},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"risk assessment","score":0.9929999709129333}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7789202332496643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959028244018555},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6803406476974487},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6049184799194336},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5963466167449951},{"id":"https://openalex.org/C95986675","wikidata":"https://www.wikidata.org/wiki/Q185168","display_name":"Quantitative analysis (chemistry)","level":2,"score":0.47916021943092346},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4764443039894104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4699910879135132},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4566807150840759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4437699019908905},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.42309391498565674},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rams.2010.5448022","doi":"https://doi.org/10.1109/rams.2010.5448022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rams.2010.5448022","pdf_url":null,"source":{"id":"https://openalex.org/S4210171523","display_name":"Annual Reliability and Maintainability Symposium (RAMS)","issn_l":"0149-144X","issn":["0149-144X","2577-0993"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W80720965","https://openalex.org/W165964818","https://openalex.org/W1527848876","https://openalex.org/W1580038098","https://openalex.org/W1593793857","https://openalex.org/W1755360231","https://openalex.org/W1989486129","https://openalex.org/W2025956119","https://openalex.org/W2054780702","https://openalex.org/W2072340691","https://openalex.org/W2086238730","https://openalex.org/W2112798704","https://openalex.org/W2143075689","https://openalex.org/W2156094048","https://openalex.org/W2159080219","https://openalex.org/W2623293810","https://openalex.org/W2912526555","https://openalex.org/W2950274231","https://openalex.org/W3021909058","https://openalex.org/W4299670631","https://openalex.org/W6631514821","https://openalex.org/W6678087030","https://openalex.org/W6683068184"],"related_works":["https://openalex.org/W2049571606","https://openalex.org/W4306404081","https://openalex.org/W2315060058","https://openalex.org/W7099504452","https://openalex.org/W7220767035","https://openalex.org/W2361581950","https://openalex.org/W7098424163","https://openalex.org/W2482820776","https://openalex.org/W2357167070","https://openalex.org/W2945886981"],"abstract_inverted_index":{"This":[0,100],"paper":[1,101],"presents":[2],"an":[3],"extension":[4],"of":[5,12,34,45,74,91,96],"Bayesian":[6,29],"belief":[7],"networks":[8],"(BBN)":[9],"enabling":[10],"use":[11],"both":[13],"qualitative":[14,35],"and":[15,49,60,70,94,107],"quantitative":[16,41,98],"likelihood":[17],"scales":[18,36],"in":[19,88],"inference.":[20],"The":[21,32],"proposed":[22,104],"method":[23],"is":[24,37],"accordingly":[25],"named":[26],"QQBBN":[27,105],"(Qualitative-Quantitative":[28],"Belief":[30],"Networks).":[31],"inclusion":[33],"especially":[38],"useful":[39],"when":[40,66],"data":[42],"for":[43,67],"estimation":[44],"probabilities":[46],"are":[47,51,76,81],"lacking":[48],"experts":[50],"reluctant":[52],"to":[53,86],"express":[54],"their":[55],"opinions":[56],"quantitatively.":[57],"In":[58],"reliability":[59],"risk":[61],"analysis":[62],"such":[63],"situation":[64],"occurs":[65],"example":[68],"human":[69],"organizational":[71],"root":[72],"causes":[73,80],"systems":[75],"modeled":[77],"explicitly.":[78],"Such":[79],"often":[82],"not":[83],"quantifiable":[84],"due":[85],"limitations":[87],"the":[89,92,103],"state":[90],"art":[93],"lack":[95],"proper":[97],"metrics.":[99],"describes":[102],"framework":[106],"demonstrates":[108],"its":[109],"uses":[110],"through":[111],"a":[112],"simple":[113],"example.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2016-06-24T00:00:00"}
