{"id":"https://openalex.org/W3184023486","doi":"https://doi.org/10.1109/tsmc.2021.3093467","title":"A Granular Computing-Driving Hesitant Fuzzy Linguistic Method for Supporting Large-Scale Group Decision Making","display_name":"A Granular Computing-Driving Hesitant Fuzzy Linguistic Method for Supporting Large-Scale Group Decision Making","publication_year":2021,"publication_date":"2021-07-20","ids":{"openalex":"https://openalex.org/W3184023486","doi":"https://doi.org/10.1109/tsmc.2021.3093467","mag":"3184023486"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2021.3093467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2021.3093467","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: 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/A5016587219","display_name":"Yuanhang Zheng","orcid":"https://orcid.org/0000-0002-9357-645X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhang Zheng","raw_affiliation_strings":["Business School, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9357-645X","affiliations":[{"raw_affiliation_string":"Business School, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437308","display_name":"Zeshui Xu","orcid":"https://orcid.org/0000-0003-3547-2908"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeshui Xu","raw_affiliation_strings":["Business School, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3547-2908","affiliations":[{"raw_affiliation_string":"Business School, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":4.1727,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94121294,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"52","issue":"10","first_page":"6048","last_page":"6060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9998000264167786,"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":0.9998000264167786,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11727","display_name":"Advanced Algebra and Logic","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/consistency","display_name":"Consistency (knowledge bases)","score":0.7043577432632446},{"id":"https://openalex.org/keywords/group-decision-making","display_name":"Group decision-making","score":0.6369873285293579},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6341617107391357},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5407976508140564},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.5350438356399536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5128145813941956},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.47011128067970276},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.46054714918136597},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4539293646812439},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.45161110162734985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3800547420978546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3308785855770111},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1572907269001007},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1341753900051117},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.10558450222015381},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.09301668405532837}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7043577432632446},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.6369873285293579},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6341617107391357},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5407976508140564},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.5350438356399536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5128145813941956},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.47011128067970276},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.46054714918136597},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4539293646812439},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.45161110162734985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3800547420978546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3308785855770111},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1572907269001007},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1341753900051117},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.10558450222015381},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.09301668405532837},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/tsmc.2021.3093467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2021.3093467","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G597183912","display_name":null,"funder_award_id":"71771155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1964629474","https://openalex.org/W1976567794","https://openalex.org/W1978062397","https://openalex.org/W1995592030","https://openalex.org/W1996640033","https://openalex.org/W2001573881","https://openalex.org/W2012430137","https://openalex.org/W2014845900","https://openalex.org/W2015338869","https://openalex.org/W2060604898","https://openalex.org/W2063048377","https://openalex.org/W2063149790","https://openalex.org/W2065043952","https://openalex.org/W2074897973","https://openalex.org/W2089336319","https://openalex.org/W2113076747","https://openalex.org/W2117827905","https://openalex.org/W2157339075","https://openalex.org/W2163481099","https://openalex.org/W2170729459","https://openalex.org/W2206385896","https://openalex.org/W2288338628","https://openalex.org/W2328093939","https://openalex.org/W2409575000","https://openalex.org/W2529367412","https://openalex.org/W2623569885","https://openalex.org/W2753157886","https://openalex.org/W2756366436","https://openalex.org/W2768504226","https://openalex.org/W2774064521","https://openalex.org/W2774764306","https://openalex.org/W2783728240","https://openalex.org/W2801283338","https://openalex.org/W2801722492","https://openalex.org/W2802867425","https://openalex.org/W2803497498","https://openalex.org/W2845366390","https://openalex.org/W2928777687","https://openalex.org/W2964219651","https://openalex.org/W2994194271","https://openalex.org/W3010223921","https://openalex.org/W3095733167","https://openalex.org/W3108799008","https://openalex.org/W4211007335","https://openalex.org/W4245152641","https://openalex.org/W4254921615"],"related_works":["https://openalex.org/W2013421631","https://openalex.org/W2282249876","https://openalex.org/W2264129129","https://openalex.org/W2534449155","https://openalex.org/W3091858790","https://openalex.org/W2765911721","https://openalex.org/W2922513649","https://openalex.org/W4239687749","https://openalex.org/W2087815680","https://openalex.org/W2046989465"],"abstract_inverted_index":{"Considering":[0,163],"the":[1,38,57,77,108,130,154,164,173,197,205,224,227,241],"conditions":[2],"that:":[3],"1)":[4],"same":[5],"linguistic":[6,22,51,58,72,89,140,189],"term":[7],"means":[8],"different":[9,12,124],"things":[10],"for":[11],"people;":[13],"2)":[14],"flexible":[15],"semantics":[16,27],"cannot":[17],"be":[18,35,62],"represented":[19],"by":[20,29,55,76,129,201],"original":[21,149],"term;":[23],"and":[24,46,103,118,152,236,244],"3)":[25],"some":[26,44,167,219,233],"given":[28,200],"decision":[30,99,174,202],"makers":[31,100,175],"are":[32,209],"possible":[33],"to":[34,61,91,123,147,179,195,239],"changed":[36],"during":[37],"consistency":[39,116,155],"improving":[40],"process,":[41],"we":[42,112,135,231],"bring":[43],"flexibility":[45],"personality":[47],"into":[48],"hesitant":[49,87,102,138,187],"fuzzy":[50,88,139,188],"preference":[52,59,73,105,127,157],"matrix":[53,128],"structures":[54],"allowing":[56],"matrices":[60,158],"granular":[63,80],"rather":[64],"than":[65],"numeric,":[66],"providing":[67],"a":[68,85,96,114,137],"new":[69,86],"characterization":[70],"of":[71,79,98,126,156,166,214,218,226],"matrices.":[74],"Inspired":[75],"thought":[78],"computing,":[81],"this":[82],"article":[83],"proposes":[84],"method":[90],"deal":[92],"with":[93,142],"issues":[94],"when":[95],"lot":[97],"provide":[101],"uncertain":[104],"information":[106,151,199],"in":[107,182],"decision-making":[109,170,207],"process.":[110],"First,":[111],"design":[113],"multiplicative":[115],"index":[117],"calculate":[119],"its":[120],"thresholds":[121],"corresponding":[122],"dimensions":[125],"Monte":[131],"Carlo":[132],"experiment.":[133],"Then,":[134],"construct":[136],"model":[141],"granularity":[143],"level,":[144],"so":[145],"as":[146,159,161],"recharacterize":[148],"assessment":[150,198],"improve":[153],"far":[160],"possible.":[162],"features":[165],"large-scale":[168],"group":[169],"situation,":[171],"where":[172],"have":[176],"little":[177],"opportunity":[178],"take":[180],"part":[181],"multiple":[183],"consensus":[184],"reaching":[185],"processes,":[186],"fuzzy$C$-means":[190],"clustering":[191],"algorithm":[192],"is":[193],"developed":[194],"integrate":[196],"makers.":[203],"Finally,":[204,230],"final":[206],"results":[208],"derived.":[210],"An":[211],"illustrative":[212],"example":[213],"assessing":[215],"psychological":[216],"situation":[217],"COVID-19":[220],"infected":[221],"persons":[222],"clarifies":[223],"reasonability":[225],"proposed":[228],"method.":[229],"complete":[232],"comparative":[234],"studies":[235],"simulation":[237],"experiments":[238],"demonstrate":[240],"method\u2019s":[242],"validity":[243],"advantages.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":6}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}