{"id":"https://openalex.org/W4402544781","doi":"https://doi.org/10.1108/ijicc-07-2024-0332","title":"Consensus model for probabilistic linguistic multi-attribute group decision-making based on\u00a0incomplete social trust networks","display_name":"Consensus model for probabilistic linguistic multi-attribute group decision-making based on\u00a0incomplete social trust networks","publication_year":2024,"publication_date":"2024-09-14","ids":{"openalex":"https://openalex.org/W4402544781","doi":"https://doi.org/10.1108/ijicc-07-2024-0332"},"language":"en","primary_location":{"id":"doi:10.1108/ijicc-07-2024-0332","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-07-2024-0332","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","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":null,"display_name":"Kaiying Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiying Kang","raw_affiliation_strings":["Jimei University College of Science, , Xiamen,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jimei University College of Science, , Xiamen,","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089059096","display_name":"Jialiang Xie","orcid":"https://orcid.org/0000-0002-2329-2144"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialiang Xie","raw_affiliation_strings":["Jimei University College of Science, , Xiamen,"],"raw_orcid":"https://orcid.org/0000-0002-2329-2144","affiliations":[{"raw_affiliation_string":"Jimei University College of Science, , Xiamen,","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375368","display_name":"Xiaohui Liu","orcid":"https://orcid.org/0000-0002-7728-7121"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Liu","raw_affiliation_strings":["Jimei University College of Science, , Xiamen,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jimei University College of Science, , Xiamen,","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054852204","display_name":"Jianxiang Qiu","orcid":"https://orcid.org/0009-0003-4059-021X"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxiang Qiu","raw_affiliation_strings":["Jimei University , Xiamen,"],"raw_orcid":"https://orcid.org/0009-0003-4059-021X","affiliations":[{"raw_affiliation_string":"Jimei University , Xiamen,","institution_ids":["https://openalex.org/I161346416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161346416"],"apc_list":null,"apc_paid":null,"fwci":0.2778,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62069344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"17","issue":"4","first_page":"844","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.9603000283241272,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9603000283241272,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9330999851226807,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9186000227928162,"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/computer-science","display_name":"Computer science","score":0.8071155548095703},{"id":"https://openalex.org/keywords/group-decision-making","display_name":"Group decision-making","score":0.7955408096313477},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7181826829910278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5363662838935852},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5237277150154114},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47995761036872864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35944628715515137},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11826300621032715},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11601251363754272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071155548095703},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.7955408096313477},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7181826829910278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5363662838935852},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5237277150154114},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47995761036872864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35944628715515137},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11826300621032715},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11601251363754272},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijicc-07-2024-0332","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijicc-07-2024-0332","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1694068690","https://openalex.org/W2013659308","https://openalex.org/W2043902857","https://openalex.org/W2311759280","https://openalex.org/W2474884296","https://openalex.org/W2507975617","https://openalex.org/W2564911344","https://openalex.org/W2623569885","https://openalex.org/W2732901624","https://openalex.org/W2806437363","https://openalex.org/W2884023712","https://openalex.org/W2888607578","https://openalex.org/W2900960922","https://openalex.org/W2901306906","https://openalex.org/W2901498124","https://openalex.org/W2933911887","https://openalex.org/W2961924266","https://openalex.org/W2990452149","https://openalex.org/W2998717292","https://openalex.org/W3000416615","https://openalex.org/W3021288270","https://openalex.org/W3028956410","https://openalex.org/W3048070941","https://openalex.org/W3100717670","https://openalex.org/W3112120245","https://openalex.org/W3112401213","https://openalex.org/W3112772891","https://openalex.org/W3119284000","https://openalex.org/W3121070152","https://openalex.org/W3130845417","https://openalex.org/W3132572198","https://openalex.org/W3175384043","https://openalex.org/W3186045421","https://openalex.org/W3198841180","https://openalex.org/W3212031517","https://openalex.org/W3212604281","https://openalex.org/W4213074632","https://openalex.org/W4237332124","https://openalex.org/W4283024885","https://openalex.org/W4283797168","https://openalex.org/W4288056768","https://openalex.org/W4292431442","https://openalex.org/W4293254093","https://openalex.org/W4293535344","https://openalex.org/W4306970954","https://openalex.org/W4307903178","https://openalex.org/W4313406562","https://openalex.org/W4319312323","https://openalex.org/W4384697026","https://openalex.org/W4386939804","https://openalex.org/W4387824420","https://openalex.org/W4388110901","https://openalex.org/W4394879542","https://openalex.org/W4398175961"],"related_works":["https://openalex.org/W2494523064","https://openalex.org/W2943623134","https://openalex.org/W2588219639","https://openalex.org/W2215759665","https://openalex.org/W2030292806","https://openalex.org/W2960358116","https://openalex.org/W4287727129","https://openalex.org/W3041172967","https://openalex.org/W2014786470","https://openalex.org/W2077860847"],"abstract_inverted_index":{"Purpose":[0],"Experts":[1],"may":[2],"adjust":[3],"their":[4,114],"assessments":[5],"through":[6,109,146],"communication":[7],"and":[8,11,29,43,91,162,185,210,221],"mutual":[9],"influence,":[10],"this":[12,47,68],"dynamic":[13],"evolution":[14],"relies":[15],"on":[16,59,79,116,201],"the":[17,73,80,120,129,134,141,144,147,171,178,215,218,226],"spread":[18],"of":[19,82,143,149,174,225],"internal":[20],"trust":[21,32,63,75,97,110,175,208],"relationships.":[22],"Due":[23],"to":[24,100,112,127,132,165,170,213],"differences":[25],"in":[26,177],"educational":[27],"backgrounds":[28],"knowledge":[30],"experiences,":[31],"relationships":[33],"among":[34],"experts":[35],"are":[36,94,106,229],"often":[37],"incomplete.":[38],"To":[39],"address":[40],"such":[41],"issues":[42],"reduce":[44],"decision":[45,55,183,197,222],"biases,":[46],"paper":[48,189],"proposes":[49,205],"a":[50,191,206],"probabilistic":[51,193],"linguistic":[52,194],"multi-attribute":[53,195],"group":[54],"consensus":[56,135,157,198,223],"model":[57,158,199,228],"based":[58,78,200],"an":[60,202],"incomplete":[61],"social":[62],"network":[64],"(InSTN).":[65],"Design/methodology/approach":[66],"In":[67],"paper,":[69],"we":[70],"first":[71],"define":[72],"new":[74],"propagation":[76,209],"operators":[77,99],"operations":[81],"Probability":[83],"Language":[84],"Term":[85],"Set":[86],"(PLTS)":[87],"with":[88,96],"algebraic":[89],"t-conorm":[90],"t-norm,":[92],"which":[93,181],"combined":[95],"aggregation":[98,211],"estimate":[101,214],"InSTN.":[102,203,216],"The":[103,155],"adjustment":[104],"coefficients":[105],"then":[107],"determined":[108],"relations":[111,176],"quantify":[113],"impact":[115],"expert":[117,130],"evaluation.":[118],"Finally,":[119],"particle":[121],"swarm":[122,196],"algorithm":[123],"(PSO)":[124],"is":[125],"used":[126],"optimize":[128],"evaluation":[131],"meet":[133],"threshold.":[136],"Findings":[137],"This":[138,188],"study":[139],"demonstrates":[140],"feasibility":[142],"method":[145],"selection":[148],"treatment":[150],"plans":[151],"for":[152],"complex":[153],"cases.":[154],"proposed":[156,227],"exhibits":[159],"greater":[160],"robustness":[161],"effectiveness":[163],"compared":[164],"traditional":[166],"methods,":[167],"mainly":[168],"due":[169],"effective":[172],"regulation":[173],"decision-making":[179],"process,":[180],"reduces":[182],"bias":[184],"inconsistencies.":[186],"Originality/value":[187],"introduces":[190],"novel":[192],"It":[204],"redefined":[207],"approach":[212],"Moreover,":[217],"computational":[219],"efficiency":[220],"accuracy":[224],"enhanced":[230],"by":[231],"using":[232],"PSO":[233],"optimization.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}