{"id":"https://openalex.org/W4406612095","doi":"https://doi.org/10.1109/smc54092.2024.10831336","title":"Group Consensus Optimization Ranking Approach with Expert Reliability and Social Network Relationships","display_name":"Group Consensus Optimization Ranking Approach with Expert Reliability and Social Network Relationships","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406612095","doi":"https://doi.org/10.1109/smc54092.2024.10831336"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5102771827","display_name":"Guangxu Li","orcid":"https://orcid.org/0000-0001-5914-4525"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangxu Li","raw_affiliation_strings":["School of Management and Economics, University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"School of Management and Economics, University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034713347","display_name":"Xin Zhao","orcid":"https://orcid.org/0000-0003-0631-4628"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhao","raw_affiliation_strings":["School of Management and Economics, University of Electronic Science and Technology of China,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"School of Management and Economics, University of Electronic Science and Technology of China,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420251","display_name":"Yanhong Li","orcid":"https://orcid.org/0000-0002-2057-4648"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhong Li","raw_affiliation_strings":["Business School, Chengdu University,Chengdu,China,610106"],"affiliations":[{"raw_affiliation_string":"Business School, Chengdu University,Chengdu,China,610106","institution_ids":["https://openalex.org/I4210125143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102771827"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32363155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4875","last_page":"4880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9442999958992004,"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":0.9442999958992004,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7460546493530273},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.7184653282165527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6385579705238342},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4698428511619568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40020623803138733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37753283977508545}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7460546493530273},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7184653282165527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6385579705238342},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4698428511619568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40020623803138733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37753283977508545},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1986686276","https://openalex.org/W1999943538","https://openalex.org/W2026551581","https://openalex.org/W2089336319","https://openalex.org/W2097423137","https://openalex.org/W2131736385","https://openalex.org/W2200383562","https://openalex.org/W2234548561","https://openalex.org/W2593937346","https://openalex.org/W2621643701","https://openalex.org/W2894919183","https://openalex.org/W2920878653","https://openalex.org/W2987174384","https://openalex.org/W3128190409","https://openalex.org/W3130099299","https://openalex.org/W4220753524","https://openalex.org/W4280640890","https://openalex.org/W4289525979","https://openalex.org/W4328104241","https://openalex.org/W4385651111","https://openalex.org/W4386088208","https://openalex.org/W4388799166","https://openalex.org/W4390629640"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"In":[0],"group":[1,107],"decision":[2,7,38],"making,":[3],"reaching":[4],"consensus":[5,64,77,96,108,167,175,187,198],"of":[6,37,53,83,124,144,155,221],"groups":[8],"is":[9,136],"important":[10],"to":[11,71,79,87,119,138,185,215],"obtain":[12,189],"reliable":[13],"decision-making":[14],"result.":[15,39],"Moreover,":[16],"expert":[17,45,91,113,140],"reliability":[18,46,82,92,114,154],"can":[19],"significantly":[20],"affect":[21,32],"the":[22,33,51,62,81,121,142,153,160,170,217,222],"result":[23,192],"reliability,":[24,141],"and":[25,31,35,47,58,89,115,133,178,188,209,219],"unreliable":[26,74,125],"experts":[27,75,126,145,157],"provide":[28],"incorrect":[29],"information":[30],"rationality":[34],"effectiveness":[36],"A":[40],"few":[41],"studies":[42],"have":[43,67],"considered":[44,69],"defined":[48],"it":[49],"as":[50],"similarity":[52,130],"each":[54],"expert's":[55],"opinions":[56],"before":[57,76,166],"after":[59],"adjustment":[60],"in":[61,93],"iterative":[63],"process.":[65,97,168],"They":[66],"not":[68],"how":[70,86],"eliminate":[72],"overly":[73],"process":[78],"improve":[80],"result,":[84],"or":[85],"define":[88],"measure":[90,139],"non-iterative":[94],"optimization":[95,109,176],"To":[98],"deal":[99],"with":[100,112],"these":[101],"issues,":[102],"this":[103],"paper":[104],"proposes":[105],"a":[106,179,195,201,210],"ranking":[110,181,191],"approach":[111],"social":[116,149],"network":[117,150],"relationships":[118],"avoid":[120],"negative":[122],"impact":[123],"on":[127,194],"decision-making.":[128],"The":[129],"between":[131],"original":[132],"consistent":[134],"preference":[135],"used":[137],"weights":[143],"are":[146,183,213],"obtained":[147],"by":[148],"relationships.":[151],"When":[152],"some":[156],"doesn't":[158],"meet":[159],"requirement,":[161],"they":[162],"should":[163],"be":[164],"excluded":[165],"For":[169],"remaining":[171],"experts,":[172],"an":[173],"improved":[174],"model":[177,182],"median":[180],"established":[184],"promote":[186],"final":[190],"based":[193],"new":[196],"ordinal":[197],"measurement.":[199],"Finally,":[200],"numerical":[202],"example":[203],"about":[204],"pollution":[205],"control":[206],"plan":[207],"selection":[208],"comparison":[211],"analysis":[212],"given":[214],"illustrate":[216],"feasibility":[218],"advantage":[220],"proposed":[223],"approach.":[224]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
