{"id":"https://openalex.org/W4319019086","doi":"https://doi.org/10.3390/sym15020387","title":"A Novel GDMD-PROMETHEE Algorithm Based on the Maximizing Deviation Method and Social Media Data Mining for Large Group Decision Making","display_name":"A Novel GDMD-PROMETHEE Algorithm Based on the Maximizing Deviation Method and Social Media Data Mining for Large Group Decision Making","publication_year":2023,"publication_date":"2023-02-01","ids":{"openalex":"https://openalex.org/W4319019086","doi":"https://doi.org/10.3390/sym15020387"},"language":"en","primary_location":{"id":"doi:10.3390/sym15020387","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15020387","pdf_url":"https://www.mdpi.com/2073-8994/15/2/387/pdf?version=1675416197","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/2/387/pdf?version=1675416197","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065888879","display_name":"Juxiang Wang","orcid":"https://orcid.org/0000-0002-2591-0807"},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juxiang Wang","raw_affiliation_strings":["School of Management, Hefei University of Technology, Hefei 230009, China","School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei 230009, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391331","display_name":"Si Li","orcid":"https://orcid.org/0000-0003-0903-7312"},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Li","raw_affiliation_strings":["School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063728307","display_name":"Xiangyu Zhou","orcid":"https://orcid.org/0000-0002-6498-4323"},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhou","raw_affiliation_strings":["School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China"],"raw_orcid":"https://orcid.org/0000-0002-6498-4323","affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China","institution_ids":["https://openalex.org/I118987531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065888879"],"corresponding_institution_ids":["https://openalex.org/I118987531","https://openalex.org/I16365422"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.4282,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87545463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"15","issue":"2","first_page":"387","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9782000184059143,"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/T11357","display_name":"Risk and Safety Analysis","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/computer-science","display_name":"Computer science","score":0.7248137593269348},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5859577059745789},{"id":"https://openalex.org/keywords/group-decision-making","display_name":"Group decision-making","score":0.5789269208908081},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5474969148635864},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5003974437713623},{"id":"https://openalex.org/keywords/web-crawler","display_name":"Web crawler","score":0.4782772958278656},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4251772463321686},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4119637906551361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36555689573287964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3404008150100708},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3349105715751648},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17839175462722778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7248137593269348},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5859577059745789},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.5789269208908081},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5474969148635864},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5003974437713623},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.4782772958278656},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4251772463321686},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4119637906551361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36555689573287964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3404008150100708},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3349105715751648},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17839175462722778},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym15020387","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15020387","pdf_url":"https://www.mdpi.com/2073-8994/15/2/387/pdf?version=1675416197","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bc58868adb574bf7a95791f15630e1de","is_oa":false,"landing_page_url":"https://doaj.org/article/bc58868adb574bf7a95791f15630e1de","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 2, p 387 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/15/2/387/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym15020387","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym15020387","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15020387","pdf_url":"https://www.mdpi.com/2073-8994/15/2/387/pdf?version=1675416197","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329077","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319019086.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1188124272","https://openalex.org/W1965473535","https://openalex.org/W2053047891","https://openalex.org/W2098297502","https://openalex.org/W2144211451","https://openalex.org/W2167510151","https://openalex.org/W2308707436","https://openalex.org/W2392185439","https://openalex.org/W2474884296","https://openalex.org/W2533674553","https://openalex.org/W2809029195","https://openalex.org/W2904912265","https://openalex.org/W2905589875","https://openalex.org/W2911531266","https://openalex.org/W2968470723","https://openalex.org/W2998067982","https://openalex.org/W3011865677","https://openalex.org/W3023386618","https://openalex.org/W3048066439","https://openalex.org/W3087130651","https://openalex.org/W3135389155","https://openalex.org/W3156590097","https://openalex.org/W3166059555","https://openalex.org/W3166503674","https://openalex.org/W3183965003","https://openalex.org/W3206757362","https://openalex.org/W3211522828","https://openalex.org/W4200627112","https://openalex.org/W4206783406","https://openalex.org/W4220663049","https://openalex.org/W4243742093","https://openalex.org/W4245152641","https://openalex.org/W4293066196","https://openalex.org/W7034754160"],"related_works":["https://openalex.org/W3005260231","https://openalex.org/W2904469652","https://openalex.org/W4362647146","https://openalex.org/W2383572231","https://openalex.org/W2042034567","https://openalex.org/W3179424333","https://openalex.org/W4230722125","https://openalex.org/W2149158941","https://openalex.org/W1566984846","https://openalex.org/W3038813856"],"abstract_inverted_index":{"Multi-attribute":[0],"group":[1,106],"decision":[2,35,51,77,118,203,210,301],"making":[3,36,78,119,302],"is":[4,59,69,96,109,130,197,212,321],"widely":[5],"used":[6,116,131],"in":[7,37,174,326],"the":[8,38,46,53,63,91,134,153,157,179,200,206,216,221,230,234,248,264,268,274,281,286,293,297,308,312,317],"real":[9],"world,":[10],"and":[11,123,146,159,170,241,251,263,283,307,324],"many":[12],"scholars":[13],"have":[14],"done":[15],"a":[16,83,185],"lot":[17],"of":[18,48,55,65,136,139,162,202,209,233,254,267,285,296,303],"research":[19],"on":[20,25,99,142,194,273],"it.":[21],"The":[22],"public\u2019s":[23],"focus":[24],"emergencies":[26],"can":[27,114],"provide":[28],"an":[29,101],"important":[30,66,71],"reference":[31],"for":[32,76],"emergency":[33,49,140,163,269],"handling":[34,50,141,164,270,300],"social":[39,143],"media":[40,144],"big":[41],"data":[42],"environment.":[43],"Due":[44],"to":[45,61,72,117,132,151,176],"complexity":[47],"making,":[52],"asymmetry":[54],"user":[56],"evaluation":[57,181],"information":[58,75,122,182,252],"easy":[60],"cause":[62],"loss":[64],"information.":[67,125],"It":[68],"very":[70],"mine":[73],"valuable":[74],"through":[79],"online":[80],"reviews.":[81],"Then,":[82],"generalized":[84,187],"extended":[85,102,223,275,287,318],"hybrid":[86,189,224],"distance":[87,190,196,249],"measure":[88,191],"method":[89,108,192,219],"between":[90,311],"probabilistic":[92,188,255],"linguistic":[93,180,256],"term":[94,257],"sets":[95,258],"proposed.":[97,198],"Based":[98],"this,":[100],"GDMD-PROMETHEE":[103,276,288,319],"large-scale":[104],"multi-attribute":[105],"decision-making":[107],"proposed":[110],"as":[111],"well,":[112],"which":[113],"be":[115],"under":[120,259],"symmetric":[121],"asymmetric":[124],"Firstly,":[126],"web":[127],"crawler":[128],"technology":[129],"explore":[133],"topics":[135],"public":[137],"concern":[138],"platforms,":[145],"use":[147],"k-means":[148],"cluster":[149],"analysis":[150],"classify":[152],"crawling":[154],"variables,":[155],"then":[156],"attributes":[158,235],"subjective":[160,240],"weights":[161,232],"plans":[165,271],"are":[166,236,278,290],"obtained":[167],"by":[168,214,238,292],"TF-IDF":[169],"Word2vec":[171],"technology.":[172],"Secondly,":[173],"order":[175],"better":[177],"retain":[178],"from":[183],"decision-makers,":[184],"new":[186,222],"based":[193,272],"Hamming":[195],"Considering":[199],"difference":[201],"makers\u2019":[204],"evaluation,":[205],"objective":[207,242],"weight":[208],"makers":[211],"calculated":[213,237],"combining":[215,239],"maximum":[217],"deviation":[218],"with":[220],"Euclidean":[225],"distance.":[226],"On":[227],"this":[228,245,327],"basis,":[229],"comprehensive":[231],"factors.":[243],"Meanwhile,":[244],"paper":[246],"realizes":[247],"measures":[250],"fusion":[253],"cumulative":[260],"prospect":[261],"theory,":[262],"ranking":[265],"results":[266],"algorithm":[277,289,320],"given.":[279],"Finally,":[280],"feasibility":[282],"effectiveness":[284],"verified":[291],"case":[294],"study":[295],"explosion":[298],"accident":[299],"Shanghai":[304],"\u201c6.18\u201d":[305],"Petrochemical,":[306],"comparative":[309],"analyses":[310],"several":[313],"traditional":[314],"algorithms":[315],"demonstrate":[316],"more":[322],"scientific":[323],"superior":[325],"paper.":[328]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
