{"id":"https://openalex.org/W2785820679","doi":"https://doi.org/10.1109/icsrs.2017.8272848","title":"Handling epistemic uncertainty in fault trees: New proposal based on evidence theory and Kleene Ternary decision diagrams","display_name":"Handling epistemic uncertainty in fault trees: New proposal based on evidence theory and Kleene Ternary decision diagrams","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2785820679","doi":"https://doi.org/10.1109/icsrs.2017.8272848","mag":"2785820679"},"language":"en","primary_location":{"id":"doi:10.1109/icsrs.2017.8272848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs.2017.8272848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","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/A5061573353","display_name":"Fares Innal","orcid":"https://orcid.org/0000-0002-0777-7598"},"institutions":[{"id":"https://openalex.org/I98962006","display_name":"University of Skikda","ror":"https://ror.org/02571vj15","country_code":"DZ","type":"education","lineage":["https://openalex.org/I98962006"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Fares Innal","raw_affiliation_strings":["Department of Petrochemistry and Process Engineering, University of Skikda, Skikda, Algeria"],"affiliations":[{"raw_affiliation_string":"Department of Petrochemistry and Process Engineering, University of Skikda, Skikda, Algeria","institution_ids":["https://openalex.org/I98962006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086184010","display_name":"Antoine Rauzy","orcid":"https://orcid.org/0000-0003-0926-5286"},"institutions":[{"id":"https://openalex.org/I98962006","display_name":"University of Skikda","ror":"https://ror.org/02571vj15","country_code":"DZ","type":"education","lineage":["https://openalex.org/I98962006"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Antoine Rauzy","raw_affiliation_strings":["Department of Petrochemistry and Process Engineering, University of Skikda, Skikda, Algeria"],"affiliations":[{"raw_affiliation_string":"Department of Petrochemistry and Process Engineering, University of Skikda, Skikda, Algeria","institution_ids":["https://openalex.org/I98962006"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061206150","display_name":"Yves Dutuit","orcid":"https://orcid.org/0000-0001-5553-8295"},"institutions":[{"id":"https://openalex.org/I103084370","display_name":"Total (France)","ror":"https://ror.org/04sk34n56","country_code":"FR","type":"company","lineage":["https://openalex.org/I103084370"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yves Dutuit","raw_affiliation_strings":["TOTAL Professor Associates, Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"TOTAL Professor Associates, Bordeaux, France","institution_ids":["https://openalex.org/I103084370"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061573353"],"corresponding_institution_ids":["https://openalex.org/I98962006"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20580732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fault-tree-analysis","display_name":"Fault tree analysis","score":0.674622654914856},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5667918920516968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5523145198822021},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.5189251899719238},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5122198462486267},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4920946955680847},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.48055794835090637},{"id":"https://openalex.org/keywords/tree-diagram","display_name":"Tree diagram","score":0.4578477442264557},{"id":"https://openalex.org/keywords/imprecise-probability","display_name":"Imprecise probability","score":0.4102001190185547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3667418956756592},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3661830425262451},{"id":"https://openalex.org/keywords/probability-theory","display_name":"Probability theory","score":0.3470269441604614},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.2798346281051636},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24630224704742432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21196842193603516},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15502551198005676},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09552684426307678}],"concepts":[{"id":"https://openalex.org/C107094494","wikidata":"https://www.wikidata.org/wiki/Q428453","display_name":"Fault tree analysis","level":2,"score":0.674622654914856},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5667918920516968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5523145198822021},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.5189251899719238},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5122198462486267},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4920946955680847},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.48055794835090637},{"id":"https://openalex.org/C84780729","wikidata":"https://www.wikidata.org/wiki/Q7837579","display_name":"Tree diagram","level":4,"score":0.4578477442264557},{"id":"https://openalex.org/C130648207","wikidata":"https://www.wikidata.org/wiki/Q6007562","display_name":"Imprecise probability","level":3,"score":0.4102001190185547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3667418956756592},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3661830425262451},{"id":"https://openalex.org/C122203268","wikidata":"https://www.wikidata.org/wiki/Q5862903","display_name":"Probability theory","level":2,"score":0.3470269441604614},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2798346281051636},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24630224704742432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21196842193603516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15502551198005676},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09552684426307678},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsrs.2017.8272848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs.2017.8272848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 2nd International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W34381828","https://openalex.org/W156132702","https://openalex.org/W1483568252","https://openalex.org/W1577393102","https://openalex.org/W1939921362","https://openalex.org/W1994143452","https://openalex.org/W1994368477","https://openalex.org/W2011802426","https://openalex.org/W2026951116","https://openalex.org/W2040155565","https://openalex.org/W2048972217","https://openalex.org/W2050388339","https://openalex.org/W2055225546","https://openalex.org/W2080267935","https://openalex.org/W2099251677","https://openalex.org/W2117079761","https://openalex.org/W2118246991","https://openalex.org/W2121337044","https://openalex.org/W2140979446","https://openalex.org/W2155015466","https://openalex.org/W2315772212","https://openalex.org/W2406470551","https://openalex.org/W2515132961","https://openalex.org/W2797148637","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4296979607","https://openalex.org/W6725994400","https://openalex.org/W6750349241","https://openalex.org/W7048190923"],"related_works":["https://openalex.org/W2140425425","https://openalex.org/W2013926333","https://openalex.org/W1969883598","https://openalex.org/W2734619192","https://openalex.org/W3113252353","https://openalex.org/W3020982621","https://openalex.org/W1583187844","https://openalex.org/W968034","https://openalex.org/W3022149534","https://openalex.org/W3216887436"],"abstract_inverted_index":{"Fault":[0],"tree":[1,157],"(FT)":[2],"is":[3,23,93,135],"the":[4,16,19,33,72,75,90,97,103,127,155,161],"most":[5,14],"used":[6,136],"approach":[7,61,109],"in":[8,113],"reliability":[9],"and":[10,126],"safety":[11],"studies.":[12],"In":[13],"cases,":[15],"quantification":[17],"of":[18],"FT":[20,114],"top":[21,162],"event":[22],"carried":[24],"out":[25],"either":[26],"(i)":[27],"without":[28],"considering":[29],"uncertainties":[30,53,68],"associated":[31],"with":[32],"basic":[34,142],"events":[35,143],"probability":[36,55],"distribution":[37],"parameters":[38,92],"(assuming":[39],"single-valued":[40],"parameters)":[41],"or":[42],"(ii)":[43],"using":[44],"Monte":[45],"Carlo":[46],"analysis":[47],"(MC)":[48],"to":[49,65,89,137,150,160],"account":[50],"for":[51,71],"that":[52,81,152],"(using":[54],"density":[56],"function":[57],"(pdf)).":[58],"However,":[59],"MC":[60,98],"may":[62],"be":[63],"inappropriate":[64],"characterize":[66,138],"parameter":[67],"(epistemic":[69],"uncertainty)":[70],"case":[73],"where":[74],"available":[76],"data":[77],"are":[78],"poor.":[79],"For":[80],"case,":[82],"interval-valued":[83],"information":[84],"(supplied":[85],"by":[86],"experts)":[87],"related":[88],"considered":[91],"more":[94],"suitable":[95],"than":[96],"approach.":[99],"Within":[100],"this":[101],"framework,":[102],"present":[104],"paper":[105],"propose":[106],"a":[107],"new":[108],"addressing":[110],"epistemic":[111,139],"uncertainty":[112,140,153],"based":[115],"on":[116],"coupling":[117],"Dempster-Shafer":[118],"Theory":[119],"(DST,":[120],"also":[121],"known":[122],"as":[123],"Evidence":[124],"Theory)":[125],"Kleene":[128],"Ternary":[129],"Decision":[130],"Diagrams":[131],"(Kleene-TDDs).":[132],"Indeed,":[133],"DST":[134],"at":[141],"level,":[144],"whereas":[145],"Kleene-TDDs":[146],"make":[147],"it":[148],"possible":[149],"propagate":[151],"through":[154],"fault":[156],"gates":[158],"up":[159],"event.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
