{"id":"https://openalex.org/W1987891270","doi":"https://doi.org/10.1002/(sici)1097-0037(199905)33:3<193::aid-net6>3.0.co;2-g","title":"An expert system for coherent assessment of probabilities in multigraph models","display_name":"An expert system for coherent assessment of probabilities in multigraph models","publication_year":1999,"publication_date":"1999-05-01","ids":{"openalex":"https://openalex.org/W1987891270","doi":"https://doi.org/10.1002/(sici)1097-0037(199905)33:3<193::aid-net6>3.0.co;2-g","mag":"1987891270"},"language":"en","primary_location":{"id":"doi:10.1002/(sici)1097-0037(199905)33:3<193::aid-net6>3.0.co;2-g","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1097-0037(199905)33:3<193::aid-net6>3.0.co;2-g","pdf_url":null,"source":{"id":"https://openalex.org/S191798613","display_name":"Networks","issn_l":"0028-3045","issn":["0028-3045","1097-0037"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Networks","raw_type":"journal-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/A5102889648","display_name":"Enrique Castillo","orcid":"https://orcid.org/0000-0002-8570-0844"},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"E. Castillo","raw_affiliation_strings":["Department of Applied Mathematics and Computational Sciences, University of Cantabria, Spain","Department of Applied Mathematics and Computational Sciences University of Cantabria Spain"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computational Sciences, University of Cantabria, Spain","institution_ids":["https://openalex.org/I13134134"]},{"raw_affiliation_string":"Department of Applied Mathematics and Computational Sciences University of Cantabria Spain","institution_ids":["https://openalex.org/I13134134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083267470","display_name":"Ali S. Hadi","orcid":"https://orcid.org/0000-0002-1533-8333"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. S. Hadi","raw_affiliation_strings":["Department of Social Statistics, Cornell University, Ithaca, New York 14853-3901","Department of Social Statistics, Cornell University, Ithaca, New York 14853\u20103901"],"affiliations":[{"raw_affiliation_string":"Department of Social Statistics, Cornell University, Ithaca, New York 14853-3901","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Department of Social Statistics, Cornell University, Ithaca, New York 14853\u20103901","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023588880","display_name":"Francisco Jubete","orcid":null},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"F. Jubete","raw_affiliation_strings":["Department of Applied Mathematics and Computational Sciences, University of Cantabria, Spain","Department of Applied Mathematics and Computational Sciences University of Cantabria Spain"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computational Sciences, University of Cantabria, Spain","institution_ids":["https://openalex.org/I13134134"]},{"raw_affiliation_string":"Department of Applied Mathematics and Computational Sciences University of Cantabria Spain","institution_ids":["https://openalex.org/I13134134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086827247","display_name":"Cristina Solares","orcid":"https://orcid.org/0000-0002-8927-4141"},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"C. Solares","raw_affiliation_strings":["Department of Applied Mathematics and Computational Sciences, University of Cantabria, Spain","Department of Applied Mathematics and Computational Sciences University of Cantabria Spain"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computational Sciences, University of Cantabria, Spain","institution_ids":["https://openalex.org/I13134134"]},{"raw_affiliation_string":"Department of Applied Mathematics and Computational Sciences University of Cantabria Spain","institution_ids":["https://openalex.org/I13134134"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083267470"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":{"value":3400,"currency":"USD","value_usd":3400},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.10820103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"3","first_page":"193","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9151999950408936,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/expert-system","display_name":"Expert system","score":0.7265364527702332},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6858611106872559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.648043155670166},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6479670405387878},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5792360901832581},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.5523598194122314},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.49627524614334106},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4904150664806366},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4849150776863098},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.46428242325782776},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.419993132352829},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40459612011909485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3888988196849823},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3874422311782837},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3755955398082733},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3220962584018707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2779596447944641},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17715668678283691}],"concepts":[{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.7265364527702332},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6858611106872559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.648043155670166},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6479670405387878},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5792360901832581},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.5523598194122314},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.49627524614334106},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4904150664806366},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4849150776863098},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.46428242325782776},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.419993132352829},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40459612011909485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3888988196849823},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3874422311782837},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3755955398082733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3220962584018707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2779596447944641},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17715668678283691},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/(sici)1097-0037(199905)33:3<193::aid-net6>3.0.co;2-g","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1097-0037(199905)33:3<193::aid-net6>3.0.co;2-g","pdf_url":null,"source":{"id":"https://openalex.org/S191798613","display_name":"Networks","issn_l":"0028-3045","issn":["0028-3045","1097-0037"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1968323507","https://openalex.org/W2159080219","https://openalex.org/W2161369142","https://openalex.org/W2171265988","https://openalex.org/W2795495912","https://openalex.org/W4232528534","https://openalex.org/W4301208911"],"related_works":["https://openalex.org/W2743849214","https://openalex.org/W2395092600","https://openalex.org/W4256616184","https://openalex.org/W2186155471","https://openalex.org/W632005469","https://openalex.org/W2000803355","https://openalex.org/W1830892038","https://openalex.org/W2921792786","https://openalex.org/W1752292405","https://openalex.org/W2388729575"],"abstract_inverted_index":{"In":[0],"this":[1,86,128],"paper,":[2],"we":[3],"present":[4],"a":[5,9,24,34,114,143,188],"method":[6],"that":[7,22,150],"allows":[8],"coherent":[10,131],"assessment":[11,63],"of":[12,18,52,85,116,119,124,191],"probabilistic":[13,209],"Bayesian":[14,41],"networks":[15],"over":[16],"sets":[17],"nodes":[19],"or":[20,146,193],"variables":[21],"share":[23],"common":[25],"subset.":[26],"We":[27,198,211],"motivate":[28],"and":[29,54,66,108,206],"illustrate":[30,217],"the":[31,44,48,61,80,92,99,104,110,120,125,133,137,153,157,162,176,182,184,200,204,207,218],"models":[32],"with":[33,113,132],"diseases-symptoms":[35],"knowledge":[36,81],"base":[37],"defined":[38],"by":[39,70],"multiple":[40],"networks.":[42],"Since":[43],"parameter":[45,97,126,151],"values":[46,118,192],"for":[47,149,165,195],"joint":[49],"probability":[50,62,134],"distribution":[51],"diseases":[53],"symptoms":[55],"must":[56],"satisfy":[57],"some":[58],"compatibility":[59],"conditions,":[60],"becomes":[64],"complicated":[65],"can":[67,140,171],"be":[68,102,172],"monitored":[69],"an":[71,147],"expert":[72,87,94,105,112,139,158,185],"system,":[73],"in":[74,79,98,152],"order":[75],"to":[76,101,203,216],"maintain":[77],"coherence":[78],"base.":[82],"The":[83,169],"bases":[84],"system":[88,106,159,186,202],"are":[89],"presented.":[90],"Once":[91],"human":[93,111,138],"selects":[95],"one":[96],"model":[100],"assessed,":[103],"calculates":[107],"provides":[109],"range":[115,129],"feasible":[117,154,163],"parameter.":[121],"Any":[122],"value":[123,145],"within":[127],"is":[130],"axioms.":[135],"Then,":[136],"specify":[141],"either":[142],"single":[144],"interval":[148],"range.":[155],"Accordingly,":[156],"then":[160],"updates":[161],"ranges":[164],"all":[166,175,196],"other":[167],"parameters.":[168,197],"process":[170],"repeated":[173],"until":[174],"parameters":[177],"have":[178],"been":[179],"specified.":[180],"At":[181],"end,":[183],"gives":[187],"final":[189],"set":[190],"intervals":[194],"apply":[199],"proposed":[201],"dependent-symptoms":[205],"independent-symptoms":[208],"models.":[210],"give":[212],"two":[213],"numerical":[214],"examples":[215],"method.":[219],"\u00a9":[220],"1999":[221,230],"John":[222],"Wiley":[223],"&":[224],"Sons,":[225],"Inc.":[226],"Networks":[227],"33:":[228],"193\u2013206,":[229]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
