{"id":"https://openalex.org/W2924475437","doi":"https://doi.org/10.3233/jifs-18629","title":"Large group two-stage risk emergency decision-making method based on big data analysis of social media","display_name":"Large group two-stage risk emergency decision-making method based on big data analysis of social media","publication_year":2019,"publication_date":"2019-03-26","ids":{"openalex":"https://openalex.org/W2924475437","doi":"https://doi.org/10.3233/jifs-18629","mag":"2924475437"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-18629","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-18629","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/A5064870053","display_name":"Xuanhua Xu","orcid":"https://orcid.org/0000-0001-7340-8902"},"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":true,"raw_author_name":"Xuan-hua Xu","raw_affiliation_strings":["School of Business, Central South University, Changsha, Hunan, PR China"],"affiliations":[{"raw_affiliation_string":"School of Business, Central South University, Changsha, Hunan, PR China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075553596","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0003-0230-828X"},"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":"Xin Yang","raw_affiliation_strings":["School of Business, Central South University, Changsha, Hunan, PR China"],"affiliations":[{"raw_affiliation_string":"School of Business, Central South University, Changsha, Hunan, PR China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373745","display_name":"Xiaohong Chen","orcid":"https://orcid.org/0000-0002-9797-8384"},"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":"Xiaohong Chen","raw_affiliation_strings":["School of Business, Central South University, Changsha, Hunan, PR China"],"affiliations":[{"raw_affiliation_string":"School of Business, Central South University, Changsha, Hunan, PR China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041608037","display_name":"Bingsheng Liu","orcid":"https://orcid.org/0000-0002-8663-8026"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingsheng Liu","raw_affiliation_strings":["College of Management and Economics, Tianjin University, Nankai District, Tianjin, PR China"],"affiliations":[{"raw_affiliation_string":"College of Management and Economics, Tianjin University, Nankai District, Tianjin, PR China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064870053"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":2.4537,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89792037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"36","issue":"3","first_page":"2645","last_page":"2659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11121","display_name":"Public Relations and Crisis Communication","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11121","display_name":"Public Relations and Crisis Communication","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9469000101089478,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9467999935150146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.7014127373695374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6727962493896484},{"id":"https://openalex.org/keywords/group-decision-making","display_name":"Group decision-making","score":0.5835491418838501},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5750828385353088},{"id":"https://openalex.org/keywords/decision-analysis","display_name":"Decision analysis","score":0.5522520542144775},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5476199984550476},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4756445586681366},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.45841121673583984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44176873564720154},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43551018834114075},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4230506420135498},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.34126579761505127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23879578709602356},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19849324226379395},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1407526731491089},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12244147062301636},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09354987740516663},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08674183487892151}],"concepts":[{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.7014127373695374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727962493896484},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.5835491418838501},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5750828385353088},{"id":"https://openalex.org/C186116695","wikidata":"https://www.wikidata.org/wiki/Q5249226","display_name":"Decision analysis","level":2,"score":0.5522520542144775},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5476199984550476},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4756445586681366},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.45841121673583984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44176873564720154},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43551018834114075},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4230506420135498},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.34126579761505127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23879578709602356},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19849324226379395},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1407526731491089},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12244147062301636},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09354987740516663},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08674183487892151},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-18629","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-18629","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","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W292317273","https://openalex.org/W934969105","https://openalex.org/W1216298410","https://openalex.org/W1268961902","https://openalex.org/W1766874752","https://openalex.org/W1976073056","https://openalex.org/W1978394996","https://openalex.org/W2007196136","https://openalex.org/W2019592007","https://openalex.org/W2029729099","https://openalex.org/W2053047891","https://openalex.org/W2055848035","https://openalex.org/W2085063403","https://openalex.org/W2127970560","https://openalex.org/W2133469585","https://openalex.org/W2140950724","https://openalex.org/W2218333116","https://openalex.org/W2298612130","https://openalex.org/W2339782372","https://openalex.org/W2341905429","https://openalex.org/W2346789691","https://openalex.org/W2347306065","https://openalex.org/W2353999395","https://openalex.org/W2371625801","https://openalex.org/W2463183606","https://openalex.org/W2491409763","https://openalex.org/W2493985858","https://openalex.org/W2518900389","https://openalex.org/W2561125406","https://openalex.org/W2568836321","https://openalex.org/W2573438960","https://openalex.org/W2586075686","https://openalex.org/W2609291468","https://openalex.org/W2610473867","https://openalex.org/W2615535599","https://openalex.org/W2743455030","https://openalex.org/W2766217982","https://openalex.org/W2809439507","https://openalex.org/W3011865677","https://openalex.org/W6705181826","https://openalex.org/W6723744801","https://openalex.org/W6736989950","https://openalex.org/W6745582779"],"related_works":["https://openalex.org/W2041949587","https://openalex.org/W2958553423","https://openalex.org/W2047025039","https://openalex.org/W1928481587","https://openalex.org/W2613305061","https://openalex.org/W2107523790","https://openalex.org/W4237248107","https://openalex.org/W2610473867","https://openalex.org/W2376574686","https://openalex.org/W2360010337"],"abstract_inverted_index":{"In":[0,28,50],"decision-making":[1,35,109],"for":[2,37,141],"major":[3,58,166],"emergencies,":[4],"the":[5,14,17,53,76,100,103,119,133,139,165,176,181],"risk":[6,33,116],"of":[7,16,102,123,135,164,180],"a":[8,31,159],"decision":[9,18,69,115,124,156],"is":[10,46,60,72,83,111,129,152],"caused":[11],"by":[12,85,144],"both":[13],"uncertainty":[15],"maker":[19],"and":[20,93,121,162,178],"his":[21],"or":[22],"her":[23],"deviation":[24],"from":[25,63],"group":[26,136],"consistency.":[27],"this":[29,51],"paper,":[30],"two-stage":[32,108],"emergency":[34,68],"method":[36,151],"large":[38],"groups":[39],"based":[40,74],"on":[41,75,171],"social":[42,64],"media":[43],"big":[44],"data":[45],"hence":[47],"propos":[48],"ed.":[49],"method,":[52],"user-generated":[54],"content":[55],"related":[56],"to":[57,98,113,118,131,146,154],"emergencies":[59],"first":[61],"collected":[62],"media.":[65],"Then,":[66,138],"an":[67,106,147],"attribute":[70],"system":[71],"constructed":[73],"public":[77],"opinion":[78],"information":[79],"about":[80],"events,":[81],"which":[82],"obtained":[84],"natural":[86],"language":[87],"processing.":[88],"Term":[89],"frequency-inverse":[90],"document":[91],"frequency":[92],"expert":[94],"evaluation":[95],"are":[96],"used":[97,130],"determine":[99],"weights":[101],"attributes.":[104],"Second,":[105],"open":[107],"process":[110],"designed":[112],"quantify":[114],"according":[117],"reliability":[120],"accuracy":[122],"makers\u2019":[125],"opinions.":[126],"Here,":[127],"clustering":[128],"calculate":[132],"value":[134],"members.":[137],"technique":[140],"order":[142],"preference":[143],"similarity":[145],"ideal":[148],"solution":[149],"(TOPSIS)":[150],"employed":[153],"rank":[155],"alternatives.":[157],"Finally,":[158],"case":[160],"analysis":[161],"comparison":[163],"explosions":[167],"in":[168],"Tianjin":[169],"Port":[170],"August":[172],"12,":[173],"2015,":[174],"demonstrates":[175],"feasibility":[177],"effectiveness":[179],"proposedmethod.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
