{"id":"https://openalex.org/W4380481014","doi":"https://doi.org/10.3233/jifs-230423","title":"A Fermatean fuzzy GLDS approach for ranking potential risk in the Fine-Kinney framework","display_name":"A Fermatean fuzzy GLDS approach for ranking potential risk in the Fine-Kinney framework","publication_year":2023,"publication_date":"2023-06-13","ids":{"openalex":"https://openalex.org/W4380481014","doi":"https://doi.org/10.3233/jifs-230423"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-230423","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230423","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5044294074","display_name":"Fang Chang","orcid":"https://orcid.org/0000-0002-1475-9849"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Fang","raw_affiliation_strings":["School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100593054","display_name":"Yu Chen","orcid":"https://orcid.org/0009-0005-4355-6468"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364938","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0002-3096-6610"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101418558","display_name":"Weizhong Wang","orcid":"https://orcid.org/0000-0003-2000-5514"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weizhong Wang","raw_affiliation_strings":["School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100571840","display_name":"Qianping Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianping Yu","raw_affiliation_strings":["School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Anhui Normal University, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I4472751"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101418558"],"corresponding_institution_ids":["https://openalex.org/I4472751"],"apc_list":null,"apc_paid":null,"fwci":2.8887,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91003934,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"45","issue":"2","first_page":"3149","last_page":"3163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9987999796867371,"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/T11357","display_name":"Risk and Safety Analysis","score":0.9980999827384949,"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":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7014405131340027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6872066259384155},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6194031238555908},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5525566935539246},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5485986471176147},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.514854371547699},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.4257246255874634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3575094938278198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33122918009757996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16068360209465027}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7014405131340027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872066259384155},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6194031238555908},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5525566935539246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5485986471176147},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.514854371547699},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4257246255874634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3575094938278198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33122918009757996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16068360209465027},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-230423","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230423","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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":32,"referenced_works":["https://openalex.org/W2747385025","https://openalex.org/W2887518336","https://openalex.org/W2887653899","https://openalex.org/W2915704423","https://openalex.org/W2947829511","https://openalex.org/W2953509089","https://openalex.org/W2953978486","https://openalex.org/W2995474302","https://openalex.org/W3024173450","https://openalex.org/W3046339665","https://openalex.org/W3118417819","https://openalex.org/W3167056048","https://openalex.org/W3182619906","https://openalex.org/W3199265276","https://openalex.org/W3200490520","https://openalex.org/W4205098784","https://openalex.org/W4206557190","https://openalex.org/W4225264666","https://openalex.org/W4226144583","https://openalex.org/W4280526666","https://openalex.org/W4283658246","https://openalex.org/W4293211556","https://openalex.org/W4297842220","https://openalex.org/W4307332174","https://openalex.org/W4308009931","https://openalex.org/W4308738920","https://openalex.org/W4308977229","https://openalex.org/W4309631327","https://openalex.org/W4311881639","https://openalex.org/W4312055548","https://openalex.org/W4315486953","https://openalex.org/W6806678266"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W3160516639"],"abstract_inverted_index":{"The":[0,16,222],"Fine-Kinney":[1,46],"(F-K)":[2],"model":[3,217],"has":[4],"been":[5,34],"broadly":[6],"employed":[7],"for":[8,28,47,83,139,202],"evaluating":[9],"and":[10,21,61,102,209],"ranking":[11,23,66,81,216],"risk":[12,17,48,63,84,112,118,124,189,196,215,236],"in":[13,65,86,166,218],"various":[14],"fields.":[15],"scoring":[18,74,125],"information":[19],"expression":[20],"priority":[22],"are":[24],"two":[25,38],"significant":[26],"operations":[27,39,204],"its":[29],"application.":[30],"Numerous":[31],"approaches":[32],"have":[33],"extended":[35,148],"to":[36,40,88,116,161,175,205],"the":[37,42,54,59,94,99,108,141,163,168,177,186,207,219,226],"improve":[41],"performance":[43],"of":[44,199,211],"conventional":[45],"analysis.":[49],"Nevertheless,":[50],"current":[51],"literature":[52],"on":[53,130],"F-K":[55,87,220],"framework":[56,228],"seldom":[57],"considers":[58],"collective":[60,123],"individual":[62],"attitudes":[64],"potential":[67,164,232],"hazards,":[68,165],"especially":[69],"with":[70,98,153,234],"Fermatean":[71,95,109,131,149,169],"fuzzy-based":[72],"-risk":[73],"information.":[75,237],"This":[76],"paper":[77,193],"generates":[78],"a":[79,121,195],"new":[80,122],"approach":[82,128],"prioritization":[85],"fulfill":[89],"this":[90,180,192,212],"gap":[91],"by":[92],"integrating":[93],"fuzzy":[96,110,132,150,170],"sets":[97],"GLDS":[100,151],"(gained":[101],"lost":[103],"dominance":[104],"score)":[105],"method.":[106],"First,":[107],"sets-based":[111],"scale":[113],"is":[114,137,173],"introduced":[115],"acquire":[117],"scores.":[119],"Then,":[120],"matrix":[126],"establishment":[127],"based":[129],"Bonferroni":[133],"mean":[134],"(BM)":[135],"operator":[136],"built":[138],"considering":[140],"interactive":[142],"effects":[143],"between":[144],"experts.":[145],"Next,":[146],"an":[147],"method":[152,172,183],"CRITIC":[154,171],"(Criteria":[155],"Importance":[156],"Through":[157],"Inter-criteria":[158],"Correlation)is":[159],"proposed":[160],"rank":[162,231],"which":[167],"adopted":[174],"determine":[176],"weights.":[178],"Especially,":[179],"developed":[181],"weighting":[182],"can":[184,229],"depict":[185],"inter-correlation":[187],"among":[188],"parameters.":[190],"Finally,":[191],"presents":[194],"evaluation":[197],"case":[198],"professional":[200],"hazards":[201,233],"construction":[203],"display":[206],"application":[208],"advantages":[210],"improved":[213],"hybrid":[214],"framework.":[221],"result":[223],"reveals":[224],"that":[225],"enhanced":[227],"effectively":[230],"complex":[235]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
