{"id":"https://openalex.org/W2980521232","doi":"https://doi.org/10.3233/jifs-191092","title":"Clustering experts in linguistic environment: A hybrid method","display_name":"Clustering experts in linguistic environment: A hybrid method","publication_year":2019,"publication_date":"2019-10-12","ids":{"openalex":"https://openalex.org/W2980521232","doi":"https://doi.org/10.3233/jifs-191092","mag":"2980521232"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-191092","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191092","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/A5041608037","display_name":"Bingsheng Liu","orcid":"https://orcid.org/0000-0002-8663-8026"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingsheng Liu","raw_affiliation_strings":["School of Public Affairs, Chongqing University, Chongqing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Affairs, Chongqing University, Chongqing, P.R. China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400895","display_name":"Yuan Chen","orcid":"https://orcid.org/0000-0002-1945-2512"},"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":true,"raw_author_name":"Yuan Chen","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041425394","display_name":"Yinghua Shen","orcid":"https://orcid.org/0000-0003-4080-5535"},"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":"Yinghua Shen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051747562","display_name":"Xianfei Yin","orcid":"https://orcid.org/0000-0001-8270-8632"},"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":"Xianfei Yin","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100400895"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.1977,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59278413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"37","issue":"5","first_page":"6983","last_page":"7001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9746000170707703,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9402999877929688,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7910081148147583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869507431983948},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5924796462059021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5494279265403748},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44051674008369446},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.4224855601787567},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4196607172489166},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4168272614479065},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40127256512641907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1811528205871582}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7910081148147583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869507431983948},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5924796462059021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5494279265403748},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44051674008369446},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.4224855601787567},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4196607172489166},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4168272614479065},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40127256512641907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1811528205871582},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-191092","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191092","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5099999904632568},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1972969203","https://openalex.org/W1980564456","https://openalex.org/W1991491292","https://openalex.org/W2017846705","https://openalex.org/W2028043949","https://openalex.org/W2067103692","https://openalex.org/W2079024311","https://openalex.org/W2083948026","https://openalex.org/W2085170663","https://openalex.org/W2086337028","https://openalex.org/W2093001822","https://openalex.org/W2108856508","https://openalex.org/W2109585397","https://openalex.org/W2117827905","https://openalex.org/W2119165863","https://openalex.org/W2137624040","https://openalex.org/W2157041604","https://openalex.org/W2348787410","https://openalex.org/W2358193615","https://openalex.org/W2606056073","https://openalex.org/W2745348434","https://openalex.org/W2774251823","https://openalex.org/W2788907035","https://openalex.org/W2795716572","https://openalex.org/W2806055845","https://openalex.org/W2887761828","https://openalex.org/W2890403168","https://openalex.org/W2897176460","https://openalex.org/W2901306906","https://openalex.org/W2907094430","https://openalex.org/W2929732252","https://openalex.org/W2947483450","https://openalex.org/W2954235980","https://openalex.org/W2967773890","https://openalex.org/W4211007335","https://openalex.org/W4245152641","https://openalex.org/W4292078529","https://openalex.org/W7029224434"],"related_works":["https://openalex.org/W1795405792","https://openalex.org/W2019737068","https://openalex.org/W2899601636","https://openalex.org/W4254379378","https://openalex.org/W3015674157","https://openalex.org/W4206655101","https://openalex.org/W52853789","https://openalex.org/W4237592971","https://openalex.org/W4237492828","https://openalex.org/W2387982377"],"abstract_inverted_index":{"Investigating":[0],"clusters":[1],"of":[2,20,33,123,127,177],"experts":[3,21,71,83,107,128,169],"is":[4,22,67,199],"an":[5],"interesting":[6],"topic":[7],"in":[8,51,195],"the":[9,52,64,73,90,113,131,134,139,146,164,178,190,196],"large-group":[10],"decision-making":[11,30],"(LGDM)":[12],"problem,":[13],"since":[14],"being":[15],"familiar":[16],"with":[17,108,155,183,189],"patterns":[18],"(groups)":[19],"beneficial":[23],"to":[24,48,69,117,130,137,153,167],"some":[25],"other":[26],"actions":[27],"needed":[28],"for":[29],"(e.g.,":[31,77],"reconciliation":[32],"opinions":[34],"derived":[35],"from":[36],"different":[37],"expert":[38,49],"groups).":[39],"However,":[40],"not":[41,85],"too":[42],"much":[43],"attention":[44],"has":[45,84],"been":[46,86],"paid":[47],"clustering":[50,91,161,193],"LGDM":[53],"problem":[54],"under":[55,112],"a":[56,100,156,184],"linguistic":[57,115,142,197],"environment.":[58],"Besides,":[59],"it":[60],"seems":[61],"that":[62],"only":[63],"decision":[65,144],"information":[66,111],"utilized":[68],"group":[70],"while":[72],"auxiliary":[74],"(outside)":[75],"knowledge":[76,105],"expertise":[78],"and":[79,159,175],"occupation)":[80],"about":[81,106],"these":[82],"fully":[87],"considered":[88],"during":[89],"process.":[92],"To":[93],"address":[94],"this":[95,97],"issue,":[96,158],"study":[98],"proposes":[99],"hybrid":[101],"method":[102,121,180,194],"integrating":[103],"outside":[104],"practical":[109],"preference":[110],"interval-valued":[114,140],"environment":[116,198],"cluster":[118,168],"experts.":[119],"The":[120,173],"consists":[122],"four":[124],"elements:":[125],"pre-clustering":[126],"according":[129],"given":[132],"knowledge,":[133],"optimization":[135],"model":[136,152,166],"transform":[138],"2-tuple":[141],"(IV2TL)":[143],"information,":[145],"data":[147],"envelopment":[148],"analysis-discriminant":[149],"analysis":[150],"(DEA-DA)":[151],"deal":[154],"two-cluster":[157],"iterative":[160],"based":[162],"on":[163],"DEA-DA":[165],"into":[170],"multiple":[171],"clusters.":[172],"feasibility":[174],"validity":[176],"proposed":[179],"are":[181],"illustrated":[182],"real-world":[185],"example.":[186],"A":[187],"comparison":[188],"maximal":[191],"tree":[192],"provided.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
