{"id":"https://openalex.org/W4255813918","doi":"https://doi.org/10.1109/wsc.2017.8247923","title":"Analyzing and simplifying model uncertainty in fuzzy cognitive maps","display_name":"Analyzing and simplifying model uncertainty in fuzzy cognitive maps","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W4255813918","doi":"https://doi.org/10.1109/wsc.2017.8247923"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2017.8247923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8247923","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","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/A5038194966","display_name":"Eric A. Lavin","orcid":null},"institutions":[{"id":"https://openalex.org/I102502594","display_name":"Northern Illinois University","ror":"https://ror.org/012wxa772","country_code":"US","type":"education","lineage":["https://openalex.org/I102502594"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eric A. Lavin","raw_affiliation_strings":["Department of Computer Science, Northern Illinois University, DeKalb, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Northern Illinois University, DeKalb, IL, USA","institution_ids":["https://openalex.org/I102502594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023496425","display_name":"Philippe J. Giabbanelli","orcid":"https://orcid.org/0000-0001-6816-355X"},"institutions":[{"id":"https://openalex.org/I102502594","display_name":"Northern Illinois University","ror":"https://ror.org/012wxa772","country_code":"US","type":"education","lineage":["https://openalex.org/I102502594"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philippe J. Giabbanelli","raw_affiliation_strings":["Department of Computer Science, Northern Illinois University, DeKalb, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Northern Illinois University, DeKalb, IL, USA","institution_ids":["https://openalex.org/I102502594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038194966"],"corresponding_institution_ids":["https://openalex.org/I102502594"],"apc_list":null,"apc_paid":null,"fwci":0.8307,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.81531776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1868","last_page":"1879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9998999834060669,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9998999834060669,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.7674520015716553},{"id":"https://openalex.org/keywords/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.7635932564735413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7538635730743408},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.6027543544769287},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5940784811973572},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5636293888092041},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49281933903694153},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.4900123178958893},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41308867931365967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41071128845214844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40543287992477417},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35147997736930847},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.25509604811668396},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23016050457954407},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.14725816249847412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12269750237464905}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7674520015716553},{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.7635932564735413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7538635730743408},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.6027543544769287},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5940784811973572},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5636293888092041},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49281933903694153},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.4900123178958893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41308867931365967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41071128845214844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40543287992477417},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35147997736930847},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.25509604811668396},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23016050457954407},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.14725816249847412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12269750237464905},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2017.8247923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2017.8247923","pdf_url":null,"source":{"id":"https://openalex.org/S4363607803","display_name":"2017 Winter Simulation Conference (WSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309474","display_name":"Northern Illinois University","ror":"https://ror.org/012wxa772"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W70589496","https://openalex.org/W159719520","https://openalex.org/W1946233341","https://openalex.org/W2003336779","https://openalex.org/W2026070608","https://openalex.org/W2026435251","https://openalex.org/W2035366047","https://openalex.org/W2044844044","https://openalex.org/W2060836284","https://openalex.org/W2069178824","https://openalex.org/W2071021088","https://openalex.org/W2080216641","https://openalex.org/W2086400377","https://openalex.org/W2095224843","https://openalex.org/W2100435084","https://openalex.org/W2114565178","https://openalex.org/W2122879929","https://openalex.org/W2146292423","https://openalex.org/W2148605346","https://openalex.org/W2165243821","https://openalex.org/W2178771153","https://openalex.org/W2275660675","https://openalex.org/W2280358575","https://openalex.org/W2327160079","https://openalex.org/W2486444208"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W4287027380","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W3193760048","https://openalex.org/W4285822516","https://openalex.org/W2505261959"],"abstract_inverted_index":{"Fuzzy":[0],"Cognitive":[1],"Mapping":[2],"(FCM)":[3],"represents":[4],"the":[5,43,144],"`mental":[6],"model'":[7],"of":[8,80,122],"individuals":[9,20],"as":[10],"a":[11,32,48,61,77,104,123],"causal":[12,27],"network":[13],"equipped":[14],"with":[15],"an":[16],"inference":[17],"engine.":[18],"As":[19],"may":[21,29],"disagree":[22],"or":[23],"evidence":[24],"be":[25,30],"insufficient,":[26],"links":[28,40],"assigned":[31],"range":[33],"rather":[34],"than":[35],"one":[36],"value.":[37],"When":[38],"all":[39],"have":[41],"range,":[42],"massive":[44],"search":[45],"space":[46],"is":[47,100,140],"challenge":[49],"to":[50,64,85],"running":[51],"simulations.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"presented,":[57],"implemented,":[58],"and":[59,70,128],"evaluated":[60],"new":[62,95],"approach":[63,75,117],"identify":[65],"which":[66],"ranges":[67],"are":[68],"important":[69],"simplify":[71,119],"models":[72,113],"accordingly.":[73],"Our":[74,91,107],"uses":[76],"factorial":[78],"design":[79],"experiments,":[81],"implemented":[82],"using":[83],"parallelism":[84],"offset":[86],"its":[87],"high":[88],"computational":[89],"cost.":[90],"implementation":[92],"(including":[93],"our":[94,116],"Python":[96],"library":[97],"for":[98,135],"FCM)":[99],"freely":[101],"available":[102],"on":[103,109,132,142],"third-party":[105],"repository.":[106],"evaluation":[108],"three":[110],"previously":[111],"published":[112],"shows":[114],"that":[115],"can":[118],"almost":[120],"half":[121],"model":[124],"under":[125],"common":[126],"settings,":[127],"runs":[129],"within":[130],"seconds":[131],"entry-level":[133],"hardware":[134],"small":[136],"FCMs.":[137],"Further":[138],"research":[139],"needed":[141],"simplifying":[143],"few":[145],"FCMs":[146],"having":[147],"many":[148],"links.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
