{"id":"https://openalex.org/W4392454600","doi":"https://doi.org/10.3233/jifs-236552","title":"A two-stage consensus model based on personalized individual semantics under linguistic preference relations with self-confidence","display_name":"A two-stage consensus model based on personalized individual semantics under linguistic preference relations with self-confidence","publication_year":2024,"publication_date":"2024-03-05","ids":{"openalex":"https://openalex.org/W4392454600","doi":"https://doi.org/10.3233/jifs-236552"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-236552","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-236552","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/A5102583987","display_name":"Mengmeng Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng-Meng Zhu","raw_affiliation_strings":["School of Big Data and Statistics, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Statistics, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015820030","display_name":"Junjun Mao","orcid":"https://orcid.org/0000-0002-0542-8837"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun-Jun Mao","raw_affiliation_strings":["School of Big Data and Statistics, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Statistics, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100925231","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0002-1171-1284"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Business School, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business School, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015820030"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03480201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":"4","first_page":"10075","last_page":"10093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9800999760627747,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9800999760627747,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.963100016117096,"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":0.9455000162124634,"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/preference","display_name":"Preference","score":0.6441748142242432},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6187497973442078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5659459233283997},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4830358922481537},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4690074622631073},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4472384452819824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4124400317668915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.244014173746109},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22054043412208557},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07759672403335571},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07733878493309021},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.04961976408958435}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6441748142242432},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6187497973442078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5659459233283997},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4830358922481537},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4690074622631073},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4472384452819824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4124400317668915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.244014173746109},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22054043412208557},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07759672403335571},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07733878493309021},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.04961976408958435},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-236552","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-236552","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":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1569035261","https://openalex.org/W1971403896","https://openalex.org/W1986873987","https://openalex.org/W1993418540","https://openalex.org/W1995906594","https://openalex.org/W1999943538","https://openalex.org/W2008333002","https://openalex.org/W2014286416","https://openalex.org/W2018800439","https://openalex.org/W2065209593","https://openalex.org/W2100683571","https://openalex.org/W2108856508","https://openalex.org/W2118457689","https://openalex.org/W2129521002","https://openalex.org/W2138962584","https://openalex.org/W2144798659","https://openalex.org/W2160793668","https://openalex.org/W2167861526","https://openalex.org/W2170641282","https://openalex.org/W2346604114","https://openalex.org/W2472478905","https://openalex.org/W2517223288","https://openalex.org/W2783728240","https://openalex.org/W2801276705","https://openalex.org/W2883880313","https://openalex.org/W2898676328","https://openalex.org/W2905589875","https://openalex.org/W2947483450","https://openalex.org/W2972094994","https://openalex.org/W3001148299","https://openalex.org/W3088891005","https://openalex.org/W3179749574","https://openalex.org/W3188383611","https://openalex.org/W4200485312","https://openalex.org/W4220842692","https://openalex.org/W4285061422","https://openalex.org/W4285275137","https://openalex.org/W4285678473","https://openalex.org/W4296613119","https://openalex.org/W6633964281","https://openalex.org/W6677752386"],"related_works":["https://openalex.org/W2503350049","https://openalex.org/W2329386257","https://openalex.org/W2397616145","https://openalex.org/W2397320258","https://openalex.org/W4324058133","https://openalex.org/W648618910","https://openalex.org/W2090624569","https://openalex.org/W4296658948","https://openalex.org/W3167355683","https://openalex.org/W2053618139"],"abstract_inverted_index":{"Linguistic":[0],"preference":[1,8,40,75,126],"relations":[2,41],"with":[3],"self-confidence":[4,155],"(LPRs-SC)":[5],"are":[6,36,89],"the":[7,13,59,62,68,74,82,108,112,123,142,145,163,175,181,184],"relation":[9,76,127],"that":[10,94,105,120],"can":[11,106,121],"reflect":[12,58],"decision":[14],"maker\u2019s":[15],"(DM)":[16],"confidence":[17,69,129],"psychology":[18],"and":[19,28,42,81,128,168,177,192,198],"has":[20],"received":[21],"widespread":[22],"attention":[23],"for":[24,39],"their":[25],"simple":[26],"form":[27],"multiple":[29],"information.":[30],"Currently,":[31],"arithmetic":[32,103],"studies":[33],"of":[34,65,85,125,144,160,183,189,196],"LPRs-SC":[35,72,146],"conducted":[37],"separately":[38],"self-confidence.":[43],"In":[44],"addition,":[45],"personalized":[46],"individual":[47],"semantics":[48],"(PIS)":[49],"is":[50,96],"an":[51,102,157,170],"important":[52],"tool":[53],"in":[54,61,71,166,187,194],"large-scale":[55],"decision-making":[56],"to":[57,77,100,116],"differences":[60],"semantic":[63],"understanding":[64],"DMs.":[66],"However,":[67],"level":[70],"limits":[73],"a":[78,118,134],"certain":[79],"extent":[80],"linguistic":[83],"representations":[84],"these":[86],"two":[87,113],"components":[88],"usually":[90],"different.":[91],"This":[92],"means":[93],"it":[95],"not":[97],"only":[98],"necessary":[99],"propose":[101],"rule":[104],"express":[107],"restrictive":[109],"relationship":[110],"between":[111],"but":[114],"also":[115],"construct":[117],"model":[119,172],"extract":[122],"PIS":[124,186],"respectively.":[130],"Besides,":[131],"we":[132],"constructed":[133],"two-stage":[135],"consensus":[136],"reaching":[137],"process":[138,153],"(CRP)":[139],"based":[140],"on":[141],"specificity":[143],"structure":[147],"when":[148],"enhancing":[149],"group":[150],"harmony.":[151],"The":[152],"takes":[154],"as":[156],"independent":[158],"source":[159],"information,":[161],"delineates":[162],"adjusted":[164],"categories":[165],"detail,":[167],"builds":[169],"adjustment":[171],"accordingly.":[173],"Finally,":[174],"example":[176],"comparative":[178],"analyses":[179],"verify":[180],"merits":[182],"proposed":[185],"terms":[188,195],"consistency":[190],"enhancement":[191],"CRP":[193],"speed":[197],"accuracy":[199],"harmonization.":[200]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
