{"id":"https://openalex.org/W3010333714","doi":"https://doi.org/10.3233/jifs-191688","title":"RETRACTED: MABAC method for multiple attribute group decision making with probabilistic uncertain linguistic information","display_name":"RETRACTED: MABAC method for multiple attribute group decision making with probabilistic uncertain linguistic information","publication_year":2020,"publication_date":"2020-03-05","ids":{"openalex":"https://openalex.org/W3010333714","doi":"https://doi.org/10.3233/jifs-191688","mag":"3010333714"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-191688","doi":"https://doi.org/10.3233/jifs-191688","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191688","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,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2"],"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 & Fuzzy Systems","raw_type":"journal-article"},"volume":null,"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/A5029662492","display_name":"Guiwu Wei","orcid":"https://orcid.org/0000-0001-9074-2005","observed_orcids":["https://orcid.org/0000-0001-9074-2005"]},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiwu Wei","raw_affiliation_strings":["School of Business, Sichuan Normal University, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business, Sichuan Normal University, Chengdu, P.R. China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085550373","display_name":"He Yan","orcid":"https://orcid.org/0000-0003-2854-4387","observed_orcids":["https://orcid.org/0000-0003-2854-4387"]},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan He","raw_affiliation_strings":["School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101429494","display_name":"Fan Lei","orcid":"https://orcid.org/0009-0007-8971-9909","observed_orcids":["https://orcid.org/0009-0007-8971-9909","https://orcid.org/0000-0001-5069-5160"]},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Lei","raw_affiliation_strings":["School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Sichuan Normal University, Chengdu, P.R. China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452250","display_name":"Jiang Wu","orcid":"https://orcid.org/0000-0001-9286-4073","observed_orcids":["https://orcid.org/0000-0001-9286-4073"]},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Wu","raw_affiliation_strings":["School of Statistics, Southwestern University of Finance and Economics, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Southwestern University of Finance and Economics, Chengdu, P.R. China","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011396486","display_name":"Cun Wei","orcid":"https://orcid.org/0000-0002-6195-8699","observed_orcids":["https://orcid.org/0000-0002-6195-8699"]},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cun Wei","raw_affiliation_strings":["School of Statistics, Southwestern University of Finance and Economics, Chengdu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Southwestern University of Finance and Economics, Chengdu, P.R. China","institution_ids":["https://openalex.org/I204831749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101429494"],"corresponding_institution_ids":["https://openalex.org/I63354593"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":4.9263,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95494228,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"39","issue":"3","first_page":"3315","last_page":"3327"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9965999722480774,"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":0.9965999722480774,"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/T11671","display_name":"Fuzzy and Soft Set Theory","score":0.0006000000284984708,"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":0.00019999999494757503,"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/mabac-method","display_name":"MABAC method","score":0.9049999713897705},{"id":"https://openalex.org/keywords/multi-attribute-group-decision-making","display_name":"multi-attribute group decision making","score":0.9729999899864197},{"id":"https://openalex.org/keywords/retraction","display_name":"retraction","score":0.37400001287460327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6104185581207275},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.5910668969154358},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5611643195152283},{"id":"https://openalex.org/C2778854177","wikidata":"https://www.wikidata.org/wiki/Q4818723","display_name":"Attributive","level":2,"score":0.5423375964164734},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5178730487823486},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5148593783378601},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4768023192882538},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4695452153682709},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.46595343947410583},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.44713470339775085},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42486682534217834},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3885219693183899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25467386841773987},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.231779545545578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18747848272323608},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.09615683555603027},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0938844084739685},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-191688","doi":"https://doi.org/10.3233/jifs-191688","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191688","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,"listed_in":["anvur-scientific","cwts-core","poland-70","russia-white-list-2"],"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 & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.5171999931335449}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1906253459","https://openalex.org/W1967243514","https://openalex.org/W1976567794","https://openalex.org/W1978062397","https://openalex.org/W2052616445","https://openalex.org/W2053853119","https://openalex.org/W2081884453","https://openalex.org/W2085287108","https://openalex.org/W2117827905","https://openalex.org/W2289047752","https://openalex.org/W2328281264","https://openalex.org/W2418380392","https://openalex.org/W2474884296","https://openalex.org/W2507975617","https://openalex.org/W2511003225","https://openalex.org/W2533686073","https://openalex.org/W2593995542","https://openalex.org/W2613414180","https://openalex.org/W2658730089","https://openalex.org/W2728524411","https://openalex.org/W2748250791","https://openalex.org/W2765642135","https://openalex.org/W2775587901","https://openalex.org/W2790594866","https://openalex.org/W2792654409","https://openalex.org/W2802713379","https://openalex.org/W2804025174","https://openalex.org/W2810416091","https://openalex.org/W2867334883","https://openalex.org/W2884023712","https://openalex.org/W2890735333","https://openalex.org/W2898687922","https://openalex.org/W2900619190","https://openalex.org/W2904848912","https://openalex.org/W2910272534","https://openalex.org/W2914371109","https://openalex.org/W2915042022","https://openalex.org/W2916419633","https://openalex.org/W2920016465","https://openalex.org/W2933911887","https://openalex.org/W2937551184","https://openalex.org/W2938752753","https://openalex.org/W2943858221","https://openalex.org/W2947276032","https://openalex.org/W2950636670","https://openalex.org/W2951434981","https://openalex.org/W2951964871","https://openalex.org/W2952394472","https://openalex.org/W2953244100","https://openalex.org/W2953669846","https://openalex.org/W2955147474","https://openalex.org/W2958877610","https://openalex.org/W2962826554","https://openalex.org/W2974973961","https://openalex.org/W2989153333","https://openalex.org/W2989274444","https://openalex.org/W2990083585","https://openalex.org/W2991237890","https://openalex.org/W2993142919","https://openalex.org/W2994776109","https://openalex.org/W2994966267","https://openalex.org/W2995980274","https://openalex.org/W2999405368","https://openalex.org/W3004286422","https://openalex.org/W4240278385"],"related_works":["https://openalex.org/W4205339922","https://openalex.org/W3159753066","https://openalex.org/W4240501076","https://openalex.org/W6967837970","https://openalex.org/W4390655912","https://openalex.org/W4307276208","https://openalex.org/W3208587910","https://openalex.org/W2975108232","https://openalex.org/W2155272761","https://openalex.org/W4224932911"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"ecological":[3],"problems":[4],"have":[5],"become":[6,70],"increasingly":[7],"serious":[8],"which":[9,68,108],"are":[10,152],"forcing":[11],"people":[12],"to":[13,26,38,49,53,78,119,131],"give":[14],"up":[15],"the":[16,31,54,71,121,133],"past":[17],"high":[18,20,23],"investment,":[19],"consumption":[21],"and":[22,35,43,56,65,73,88],"emission":[24],"development":[25],"promote":[27],"green":[28,32,39,62,82,126,146],"growth,":[29],"implement":[30,61],"new":[33],"deal":[34],"pay":[36],"attention":[37],"supply":[40,63],"chain":[41,64],"research":[42],"practice.":[44],"The":[45,158],"refore,":[46],"in":[47,76,107,169],"order":[48,77],"attach":[50],"great":[51],"importance":[52],"economic":[55],"environmental":[57],"benefits,":[58],"enterprises":[59],"should":[60],"\u201cgreen\u201d":[66],"change":[67],"has":[69,101],"trend":[72],"urgent.":[74],"Thus,":[75],"obtain":[79],"an":[80],"optimal":[81],"supplier,":[83],"integration":[84],"of":[85,125,135],"combined":[86],"weights":[87,116],"multi-attributive":[89],"border":[90],"approximation":[91],"area":[92],"comparison":[93],"(MABAC)":[94],"under":[95],"probabilistic":[96],"uncertain":[97],"linguistic":[98],"sets":[99],"(PULTSs)":[100],"offered":[102],"a":[103,142],"novel":[104],"integrated":[105],"model,":[106],"information":[109],"entropy":[110],"is":[111,139],"utilized":[112],"for":[113,145,164],"calculating":[114],"objective":[115],"with":[117,154],"PULTSs":[118],"acquire":[120],"final":[122],"ranking":[123],"result":[124],"supplier.":[127],"Besides,":[128],"so":[129],"as":[130],"indicate":[132],"applicability":[134],"devised":[136],"method,":[137],"it":[138],"confirmed":[140],"by":[141],"numerical":[143],"case":[144],"supplier":[147],"selection.":[148],"Some":[149],"comparative":[150],"studies":[151],"made":[153],"some":[155],"existing":[156],"methods.":[157],"proposed":[159],"method":[160],"can":[161],"also":[162],"serve":[163],"selecting":[165],"suitable":[166],"alternative":[167],"successfully":[168],"other":[170],"selection":[171],"problems.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":2}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2020-03-13T00:00:00"}