{"id":"https://openalex.org/W4392903060","doi":"https://doi.org/10.1109/icassp48485.2024.10447204","title":"Can ChatGPT Serve as a Multi-Criteria Decision Maker? A Novel Approach to Supplier Evaluation","display_name":"Can ChatGPT Serve as a Multi-Criteria Decision Maker? A Novel Approach to Supplier Evaluation","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903060","doi":"https://doi.org/10.1109/icassp48485.2024.10447204"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101522889","display_name":"Xihui Wang","orcid":"https://orcid.org/0000-0003-3684-3571"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xihui Wang","raw_affiliation_strings":["Beihang University,Beijing,China","Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083220555","display_name":"Xiaojun Wu","orcid":"https://orcid.org/0000-0001-5678-8480"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Wu","raw_affiliation_strings":["Peking University,Beijing,China","Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9753,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.98281623,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"10281","last_page":"10285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9358999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-criteria-decision-analysis","display_name":"Multiple-criteria decision analysis","score":0.8346664905548096},{"id":"https://openalex.org/keywords/analytic-hierarchy-process","display_name":"Analytic hierarchy process","score":0.7556792497634888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127992510795593},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.569654643535614},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.5229000449180603},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49619704484939575},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47643882036209106},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3706273138523102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.335878849029541},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.325153648853302},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.15689954161643982},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1519278883934021}],"concepts":[{"id":"https://openalex.org/C11105738","wikidata":"https://www.wikidata.org/wiki/Q1895805","display_name":"Multiple-criteria decision analysis","level":2,"score":0.8346664905548096},{"id":"https://openalex.org/C87345402","wikidata":"https://www.wikidata.org/wiki/Q485202","display_name":"Analytic hierarchy process","level":2,"score":0.7556792497634888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127992510795593},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.569654643535614},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.5229000449180603},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49619704484939575},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47643882036209106},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3706273138523102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.335878849029541},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.325153648853302},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.15689954161643982},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1519278883934021},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1866338404","https://openalex.org/W2014530524","https://openalex.org/W2014531036","https://openalex.org/W2034960640","https://openalex.org/W2059696620","https://openalex.org/W2068363131","https://openalex.org/W2076309564","https://openalex.org/W2117381922","https://openalex.org/W2152143441","https://openalex.org/W2804188782","https://openalex.org/W2963863130","https://openalex.org/W3016954777","https://openalex.org/W4224308101","https://openalex.org/W4226278401","https://openalex.org/W4229005866","https://openalex.org/W4292779060","https://openalex.org/W4296307136","https://openalex.org/W4311642023","https://openalex.org/W4322718191","https://openalex.org/W4322760121","https://openalex.org/W4327487298","https://openalex.org/W4384918448","https://openalex.org/W4389519239","https://openalex.org/W6639106000","https://openalex.org/W6778883912","https://openalex.org/W6810081322","https://openalex.org/W6810738896","https://openalex.org/W6811340617","https://openalex.org/W6847118041","https://openalex.org/W6850603086","https://openalex.org/W6850625674","https://openalex.org/W6850835487","https://openalex.org/W6852800892","https://openalex.org/W6854866820","https://openalex.org/W6891713486"],"related_works":["https://openalex.org/W3097899349","https://openalex.org/W2165477019","https://openalex.org/W3150850837","https://openalex.org/W2040664947","https://openalex.org/W2147728983","https://openalex.org/W4382361068","https://openalex.org/W3006164610","https://openalex.org/W2057240309","https://openalex.org/W3165505073","https://openalex.org/W2980752689"],"abstract_inverted_index":{"Multi-Criteria":[0,194],"Decision":[1,195],"Making":[2],"(MCDM)":[3],"has":[4],"found":[5],"extensive":[6],"applications":[7],"across":[8],"various":[9],"domains":[10],"such":[11,97],"as":[12,98,192],"business,":[13],"engineering,":[14],"education,":[15],"and":[16,33,59,67,101,126,204],"academia,":[17],"with":[18,73,157,180],"supplier":[19,114,122,151,171],"evaluation":[20,115],"being":[21],"a":[22,111,121,193],"quintessential":[23],"task":[24],"among":[25],"them.":[26],"Traditional":[27],"MCDM":[28,49,133],"models":[29,79,84,134],"typically":[30],"gather":[31],"quantitative":[32],"qualitative":[34],"data":[35],"through":[36],"methods":[37,52],"like":[38,53,81],"questionnaire":[39],"surveys":[40],"administered":[41],"to":[42,64,135,146,190,201],"industry":[43],"experts.":[44],"Subsequently,":[45],"experts":[46,94],"proficient":[47],"in":[48,95],"techniques":[50],"employ":[51],"the":[54,74,141,158,162,170,175,186],"Analytic":[55],"Hierarchy":[56],"Process":[57],"(AHP)":[58],"Fuzzy":[60],"Comprehensive":[61],"Evaluation":[62],"(FCE)":[63],"conduct":[65],"objective":[66],"scientific":[68],"evaluations":[69,130,148,160,172],"of":[70,76,88,182,188],"suppliers.":[71],"However,":[72],"advent":[75],"large":[77],"language":[78],"(LLMs)":[80],"ChatGPT,":[82],"these":[83,105],"are":[85],"now":[86],"capable":[87],"assisting":[89],"or":[90],"even":[91],"replacing":[92],"human":[93,183],"tasks":[96],"writing,":[99],"consulting,":[100],"code":[102],"generation.":[103],"Bridging":[104],"two":[106],"paradigms,":[107],"this":[108,150,198],"paper":[109],"introduces":[110],"novel":[112],"expert-level":[113],"method":[116,199],"based":[117,173],"on":[118,174],"ChatGPT.":[119],"Initially,":[120],"dataset":[123],"was":[124,144],"collected":[125],"organized,":[127],"followed":[128],"by":[129],"using":[131],"traditional":[132],"obtain":[136],"expert":[137,159],"assessment":[138],"results.":[139],"Thereafter,":[140],"ChatGPT":[142,176,189],"model":[143,177],"employed":[145],"generate":[147],"for":[149],"dataset,":[152],"which":[153],"were":[154],"then":[155],"compared":[156],"from":[161],"previous":[163],"step.":[164],"The":[165],"final":[166],"results":[167],"indicate":[168],"that":[169],"closely":[178],"align":[179],"those":[181],"experts,":[184],"underscoring":[185],"capability":[187],"serve":[191],"Maker.":[196],"Furthermore,":[197],"proves":[200],"be":[202],"faster":[203],"more":[205],"cost-effective.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
