{"id":"https://openalex.org/W4416574828","doi":"https://doi.org/10.1007/s44230-025-00116-3","title":"A Dynamic Hesitant Fuzzy CREAM Approach for Quantifying Human Error in Substation Operation","display_name":"A Dynamic Hesitant Fuzzy CREAM Approach for Quantifying Human Error in Substation Operation","publication_year":2025,"publication_date":"2025-11-24","ids":{"openalex":"https://openalex.org/W4416574828","doi":"https://doi.org/10.1007/s44230-025-00116-3"},"language":"en","primary_location":{"id":"doi:10.1007/s44230-025-00116-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44230-025-00116-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44230-025-00116-3.pdf","source":{"id":"https://openalex.org/S4210207486","display_name":"Human-Centric Intelligent Systems","issn_l":"2667-1336","issn":["2667-1336"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Human-Centric Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s44230-025-00116-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040414837","display_name":"Chuan Lin","orcid":"https://orcid.org/0000-0001-6400-7322"},"institutions":[{"id":"https://openalex.org/I64449678","display_name":"Putian University","ror":"https://ror.org/00jmsxk74","country_code":"CN","type":"education","lineage":["https://openalex.org/I64449678"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuan Lin","raw_affiliation_strings":["College of Intelligent Manufacturing, Putian University, Putian, 351100, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0001-6400-7322","affiliations":[{"raw_affiliation_string":"College of Intelligent Manufacturing, Putian University, Putian, 351100, Fujian, China","institution_ids":["https://openalex.org/I64449678"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100528577","display_name":"Zhihui Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I64449678","display_name":"Putian University","ror":"https://ror.org/00jmsxk74","country_code":"CN","type":"education","lineage":["https://openalex.org/I64449678"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Yu","raw_affiliation_strings":["College of Intelligent Manufacturing, Putian University, Putian, 351100, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligent Manufacturing, Putian University, Putian, 351100, Fujian, China","institution_ids":["https://openalex.org/I64449678"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040414837"],"corresponding_institution_ids":["https://openalex.org/I64449678"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31012094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"4","first_page":"628","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.7175999879837036,"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":0.7175999879837036,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.11140000075101852,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.014800000004470348,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.6543999910354614},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6044999957084656},{"id":"https://openalex.org/keywords/human-error","display_name":"Human error","score":0.5004000067710876},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4661000072956085},{"id":"https://openalex.org/keywords/human-reliability","display_name":"Human reliability","score":0.4472000002861023},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.35120001435279846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6732000112533569},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6543999910354614},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6044999957084656},{"id":"https://openalex.org/C169806903","wikidata":"https://www.wikidata.org/wiki/Q5937752","display_name":"Human error","level":2,"score":0.5004000067710876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48260000348091125},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4661000072956085},{"id":"https://openalex.org/C191147762","wikidata":"https://www.wikidata.org/wiki/Q186289","display_name":"Human reliability","level":3,"score":0.4472000002861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4156000018119812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3862000107765198},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.36039999127388},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3393000066280365},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.30239999294281006},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.30230000615119934},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.25949999690055847}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44230-025-00116-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44230-025-00116-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44230-025-00116-3.pdf","source":{"id":"https://openalex.org/S4210207486","display_name":"Human-Centric Intelligent Systems","issn_l":"2667-1336","issn":["2667-1336"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Human-Centric Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d4bed11881774c4e9c8f79f024993c58","is_oa":true,"landing_page_url":"https://doaj.org/article/d4bed11881774c4e9c8f79f024993c58","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,"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":"Human-Centric Intelligent Systems, Vol 5, Iss 4, Pp 628-641 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44230-025-00116-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44230-025-00116-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44230-025-00116-3.pdf","source":{"id":"https://openalex.org/S4210207486","display_name":"Human-Centric Intelligent Systems","issn_l":"2667-1336","issn":["2667-1336"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Human-Centric Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2761121648","display_name":null,"funder_award_id":"25NDJC129YB","funder_id":"https://openalex.org/F4320318615","funder_display_name":"Zhejiang Office of Philosophy and Social Science"}],"funders":[{"id":"https://openalex.org/F4320318615","display_name":"Zhejiang Office of Philosophy and Social Science","ror":null},{"id":"https://openalex.org/F4320326529","display_name":"Putian University","ror":"https://ror.org/00jmsxk74"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416574828.pdf","grobid_xml":"https://content.openalex.org/works/W4416574828.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1972514155","https://openalex.org/W1991419869","https://openalex.org/W2049286879","https://openalex.org/W2050090718","https://openalex.org/W2050262998","https://openalex.org/W2067442047","https://openalex.org/W2068751867","https://openalex.org/W2073605167","https://openalex.org/W2091287769","https://openalex.org/W2116026574","https://openalex.org/W2129019811","https://openalex.org/W2560245723","https://openalex.org/W2792294252","https://openalex.org/W2923556130","https://openalex.org/W2929708549","https://openalex.org/W2946052145","https://openalex.org/W2954481926","https://openalex.org/W2955043778","https://openalex.org/W2996039903","https://openalex.org/W3009529484","https://openalex.org/W3012301245","https://openalex.org/W3042236697","https://openalex.org/W3085779293","https://openalex.org/W3088277805","https://openalex.org/W3092865034","https://openalex.org/W3101200849","https://openalex.org/W3106165417","https://openalex.org/W3106311535","https://openalex.org/W3153141520","https://openalex.org/W3167257086","https://openalex.org/W3173498505","https://openalex.org/W3209558878","https://openalex.org/W4210299266","https://openalex.org/W4239165868","https://openalex.org/W4318486197","https://openalex.org/W4366000560","https://openalex.org/W4368618102","https://openalex.org/W4412438706"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Human":[1],"error":[2,55],"probabilities":[3],"(HEP)":[4],"are":[5,108,149],"heavily":[6],"based":[7,44],"on":[8,45],"the":[9,51,61,73,140,145],"expert\u2019s":[10],"knowledge":[11],"and":[12,28,50,54,132,142],"experience":[13],"in":[14,96,157],"real-world":[15],"scenarios.":[16],"When":[17],"professionals":[18],"employ":[19],"linguistic":[20],"labels":[21],"to":[22,35,71,99,116],"assess":[23],"human":[24,38],"failure":[25],"occurrences,":[26],"uncertainty":[27],"hesitation":[29],"often":[30],"occur.":[31],"This":[32,87],"work":[33],"seeks":[34],"quantitatively":[36],"analyze":[37],"errors":[39],"using":[40,110],"a":[41,64,90,111,128,134,158],"new":[42],"model":[43,88,121,148],"hesitant":[46,112],"fuzzy":[47,113],"sets":[48],"theory":[49],"Cognitive":[52],"reliability":[53],"analysis":[56],"method":[57],"(CREAM).":[58],"To":[59],"enhance":[60],"traditional":[62],"model,":[63],"dynamic":[65],"weight":[66],"adjustment":[67],"mechanism":[68],"is":[69],"introduced":[70],"capture":[72,117],"time-varying":[74],"importance":[75],"of":[76,84,144],"Common":[77],"Performance":[78],"Conditions":[79],"(CPCs)":[80],"across":[81],"different":[82],"phases":[83],"an":[85,153],"accident.":[86],"utilizes":[89],"structured":[91],"expert":[92],"assessment":[93],"protocol":[94],"(detailed":[95],"Appendix":[97],"A)":[98],"collect":[100],"data.":[101],"The":[102,120],"evaluations":[103],"from":[104],"three":[105],"domain":[106],"experts":[107],"recorded":[109],"matrix":[114],"(HFM)":[115],"their":[118],"hesitancy.":[119],"then":[122],"dynamically":[123],"calculates":[124],"CPC":[125],"weights":[126],"through":[127],"constrained":[129],"optimization":[130],"algorithm":[131],"derives":[133],"continuous":[135],"HEP":[136],"estimation":[137],"formula.":[138],"Finally,":[139],"effectiveness":[141],"practicality":[143],"proposed":[146],"DHFM-CREAM":[147],"demonstrated":[150],"by":[151],"analyzing":[152],"electrical":[154],"maloperation":[155],"accident":[156],"substation.":[159]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-11-25T00:00:00"}