{"id":"https://openalex.org/W2996816754","doi":"https://doi.org/10.3390/app10010317","title":"Risk Quantification and Analysis of Coupled Factors Based on the DEMATEL Model and a Bayesian Network","display_name":"Risk Quantification and Analysis of Coupled Factors Based on the DEMATEL Model and a Bayesian Network","publication_year":2019,"publication_date":"2019-12-31","ids":{"openalex":"https://openalex.org/W2996816754","doi":"https://doi.org/10.3390/app10010317","mag":"2996816754"},"language":"en","primary_location":{"id":"doi:10.3390/app10010317","doi":"https://doi.org/10.3390/app10010317","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/app10010317","pdf_url":"https://www.mdpi.com/2076-3417/10/1/317/pdf?version=1578379284","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/10/1/317/pdf?version=1578379284","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044907307","display_name":"Jian Jiao","orcid":"https://orcid.org/0000-0002-6593-0407","observed_orcids":["https://orcid.org/0000-0002-6593-0407"]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Jiao","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Beijing 100191, China"],"raw_orcid":"https://orcid.org/0000-0002-6593-0407","affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049269244","display_name":"Mengwei Wei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengwei Wei","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514","observed_orcids":["https://orcid.org/0000-0001-7964-6514","https://orcid.org/0009-0001-3516-0472"]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068087375","display_name":"Tingdi Zhao","orcid":"https://orcid.org/0000-0002-8616-4983","observed_orcids":["https://orcid.org/0000-0002-8616-4983"]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingdi Zhao","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044907307"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1500,"currency":"CHF","value_usd":1520},"apc_paid":{"value":1500,"currency":"CHF","value_usd":1520},"fwci":2.0071,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.89140569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"10","issue":"1","first_page":"317","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9653000235557556,"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":0.9653000235557556,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.021400000900030136,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T14368","display_name":"Evaluation and Optimization Models","score":0.0027000000700354576,"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/risk-quantification","display_name":"risk quantification","score":0.8769999742507935},{"id":"https://openalex.org/keywords/dematel","display_name":"DEMATEL","score":0.8939999938011169},{"id":"https://openalex.org/keywords/bayesian-networks","display_name":"Bayesian networks","score":0.9860000014305115},{"id":"https://openalex.org/keywords/risk-factor-identification","display_name":"risk factor identification","score":0.6060000061988831},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.8659999966621399},{"id":"https://openalex.org/keywords/risk-prevention","display_name":"risk prevention","score":0.47600001096725464}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6171228885650635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61641526222229},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.5521643161773682},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.50985187292099},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4915049970149994},{"id":"https://openalex.org/C20837028","wikidata":"https://www.wikidata.org/wiki/Q623966","display_name":"Influence diagram","level":3,"score":0.4621954560279846},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4217385947704315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3634551465511322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2984277009963989},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21935498714447021},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.10184010863304138},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/app10010317","doi":"https://doi.org/10.3390/app10010317","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/app10010317","pdf_url":"https://www.mdpi.com/2076-3417/10/1/317/pdf?version=1578379284","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:18da360b72324a089ec3d659e38220ca","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/18da360b72324a089ec3d659e38220ca","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Sciences, Vol 10, Iss 1, p 317 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app10010317","doi":"https://doi.org/10.3390/app10010317","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/app10010317","pdf_url":"https://www.mdpi.com/2076-3417/10/1/317/pdf?version=1578379284","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2996816754.pdf","grobid_xml":"https://content.openalex.org/works/W2996816754.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1414450279","https://openalex.org/W1593793857","https://openalex.org/W2014289288","https://openalex.org/W2034800981","https://openalex.org/W2049958305","https://openalex.org/W2053493853","https://openalex.org/W2056526681","https://openalex.org/W2058738197","https://openalex.org/W2089909098","https://openalex.org/W2116289830","https://openalex.org/W2149300931","https://openalex.org/W2165945438","https://openalex.org/W2183271101","https://openalex.org/W2263806212","https://openalex.org/W2347219847","https://openalex.org/W2361095263","https://openalex.org/W2363772816","https://openalex.org/W2364192534","https://openalex.org/W2387417672","https://openalex.org/W2393437762","https://openalex.org/W2417094071","https://openalex.org/W2473105253","https://openalex.org/W2626227040","https://openalex.org/W2723564327","https://openalex.org/W2748154401","https://openalex.org/W2833603562","https://openalex.org/W2895033010","https://openalex.org/W2902991693","https://openalex.org/W2922865617","https://openalex.org/W2926957195","https://openalex.org/W2947320457","https://openalex.org/W2961478200","https://openalex.org/W2970467866","https://openalex.org/W3005934519","https://openalex.org/W3046529025","https://openalex.org/W7026751439"],"related_works":["https://openalex.org/W3012912908","https://openalex.org/W3034170449","https://openalex.org/W2741567842","https://openalex.org/W4210845851","https://openalex.org/W7095213871","https://openalex.org/W2356017581","https://openalex.org/W3105813631","https://openalex.org/W7100349950","https://openalex.org/W1707389298","https://openalex.org/W2044395156"],"abstract_inverted_index":{"With":[0],"the":[1,26,29,33,42,50,53,63,73,81,85,90,94,109,117,121,128,143,146,149,159,164,172,177,182,189,198],"developing":[2],"of":[3,28,38,44,52,87,113,148,188,192],"high":[4],"integrations":[5],"in":[6,21,120],"large":[7],"scale":[8],"systems,":[9,16],"such":[10],"as":[11,47,49],"aircraft":[12,193],"and":[13,32,67,72,79,92,111,145,161,176],"other":[14],"industrial":[15],"there":[17],"are":[18,168],"new":[19],"challenges":[20],"safety":[22],"analysis":[23],"due":[24],"to":[25,99,107,126,141,180,196],"complexity":[27],"mission":[30],"process":[31,191],"more":[34],"complicated":[35],"coupling":[36,105],"characteristic":[37],"multi-factors.":[39],"Aiming":[40],"at":[41],"evaluation":[43],"coupled":[45,150],"factors":[46,83,151,167],"well":[48],"risk":[51,82,147,166,173],"mission,":[54],"this":[55],"paper":[56],"proposes":[57],"a":[58],"combined":[59],"technology":[60],"based":[61,170],"on":[62,171],"Decision":[64],"Making":[65],"Trial":[66],"Evaluation":[68],"Laboratory":[69],"(DEMATEL)":[70],"model":[71,123,157],"Bayesian":[74],"network":[75],"(BN).":[76],"After":[77],"identifying":[78],"classifying":[80],"from":[84],"perspectives":[86],"humans,":[88],"machines,":[89],"environment,":[91],"management,":[93],"DEMATEL":[95,122],"technique":[96],"is":[97,124,138,152,194],"adopted":[98],"assess":[100],"their":[101],"direct":[102],"and/or":[103],"indirect":[104],"relationships":[106],"determine":[108],"importance":[110],"causality":[112],"each":[114],"factor;":[115],"moreover,":[116],"relationship":[118],"matrix":[119],"used":[125],"generate":[127],"BN":[129],"model,":[130],"including":[131],"its":[132],"parameterization.":[133],"The":[134],"inverse":[135],"reasoning":[136],"theory":[137],"then":[139],"implemented":[140],"derive":[142],"probability,":[144],"evaluated":[153],"by":[154],"an":[155,186],"assessment":[156],"integrating":[158],"probability":[160],"severity.":[162],"Furthermore,":[163],"key":[165],"identified":[169],"radar":[174],"diagram":[175],"Pareto":[178],"rule":[179],"support":[181],"preventive":[183],"measurements.":[184],"Finally,":[185],"application":[187],"take-off":[190],"provided":[195],"demonstrate":[197],"proposed":[199],"method.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2020-01-10T00:00:00"}