{"id":"https://openalex.org/W4385575399","doi":"https://doi.org/10.3233/jifs-232159","title":"Research on the economic collaborative development evaluation in the Beijing-Tianjin-Hebei region based on hesitant triangular fuzzy information","display_name":"Research on the economic collaborative development evaluation in the Beijing-Tianjin-Hebei region based on hesitant triangular fuzzy information","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385575399","doi":"https://doi.org/10.3233/jifs-232159"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-232159","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-232159","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 & 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/A5100384877","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0003-1700-1512"},"institutions":[{"id":"https://openalex.org/I183006215","display_name":"Shijiazhuang University","ror":"https://ror.org/028rmam09","country_code":"CN","type":"education","lineage":["https://openalex.org/I183006215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Shijiazhuang University of Applied Technology, Shijiazhuang, Hebei, China"],"affiliations":[{"raw_affiliation_string":"Shijiazhuang University of Applied Technology, Shijiazhuang, Hebei, China","institution_ids":["https://openalex.org/I183006215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100384877"],"corresponding_institution_ids":["https://openalex.org/I183006215"],"apc_list":null,"apc_paid":null,"fwci":0.5094,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6816015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"45","issue":"5","first_page":"7533","last_page":"7545"},"is_retracted":true,"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/T13058","display_name":"Soil and Land Suitability Analysis","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/beijing","display_name":"Beijing","score":0.8915581107139587},{"id":"https://openalex.org/keywords/edas","display_name":"EDAS","score":0.638757586479187},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.6029895544052124},{"id":"https://openalex.org/keywords/sustainable-development","display_name":"Sustainable development","score":0.5794896483421326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41650551557540894},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.40394681692123413},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22637668251991272},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.14687907695770264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10343506932258606}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.8915581107139587},{"id":"https://openalex.org/C49284225","wikidata":"https://www.wikidata.org/wiki/Q5322829","display_name":"EDAS","level":3,"score":0.638757586479187},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.6029895544052124},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.5794896483421326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41650551557540894},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.40394681692123413},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22637668251991272},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.14687907695770264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10343506932258606},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-232159","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-232159","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 & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5400000214576721,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1571795992","https://openalex.org/W1934371139","https://openalex.org/W1995875735","https://openalex.org/W2003992246","https://openalex.org/W2012922394","https://openalex.org/W2014254566","https://openalex.org/W2029982592","https://openalex.org/W2036559270","https://openalex.org/W2050262998","https://openalex.org/W2259660946","https://openalex.org/W2289707146","https://openalex.org/W2292359941","https://openalex.org/W2500528343","https://openalex.org/W2563128797","https://openalex.org/W2610504343","https://openalex.org/W2782761971","https://openalex.org/W2800629672","https://openalex.org/W2901537076","https://openalex.org/W2912392110","https://openalex.org/W2916419633","https://openalex.org/W2924791920","https://openalex.org/W2947240092","https://openalex.org/W2949676115","https://openalex.org/W2964219651","https://openalex.org/W2974192765","https://openalex.org/W2997916479","https://openalex.org/W2998470600","https://openalex.org/W3011865677","https://openalex.org/W3030989253","https://openalex.org/W3037314997","https://openalex.org/W3093369595","https://openalex.org/W3100600146","https://openalex.org/W3108339430","https://openalex.org/W3113639899","https://openalex.org/W3129496442","https://openalex.org/W3131398335","https://openalex.org/W3137239662","https://openalex.org/W3173170878","https://openalex.org/W3177290343","https://openalex.org/W3181106751","https://openalex.org/W3182450870","https://openalex.org/W3187423227","https://openalex.org/W3212674546","https://openalex.org/W4200287222","https://openalex.org/W4317425613","https://openalex.org/W6724592863","https://openalex.org/W6785335515","https://openalex.org/W6787294105"],"related_works":["https://openalex.org/W2385977561","https://openalex.org/W1977921570","https://openalex.org/W1583976218","https://openalex.org/W2950289264","https://openalex.org/W2098324512","https://openalex.org/W2626206254","https://openalex.org/W2499149626","https://openalex.org/W2952524952","https://openalex.org/W2053216895","https://openalex.org/W2139754259"],"abstract_inverted_index":{"Beijing,":[0],"Tianjin":[1,44,110],"and":[2,24,35,43,73,101,137,248,280],"Hebei":[3,52,111],"are":[4,161,227],"located":[5],"in":[6,28,79,91,121,176,210,263],"the":[7,17,20,38,48,60,85,92,103,108,122,135,171,177,183,194,199,211,218,230,245,264,271],"Bohai":[8],"Rim":[9],"region":[10,18,62,112,124,213,266],"of":[11,41,51,59,87,107,224],"Northeast":[12],"Asia,":[13],"China.":[14,30],"It":[15],"is":[16,45,54,63,71,125,190,214,233,241,267,283],"with":[19,152],"largest":[21],"economic":[22,26,39,49,57,89,96,99,105,117,172,206,259],"scale":[23],"strongest":[25],"vitality":[27],"northern":[29],"Due":[31],"to":[32,75,83,150,192,216,269,286],"historical":[33],"development":[34,58,90,119,174,208,261],"administrative":[36],"division,":[37],"strength":[40,50,106],"Beijing":[42,109],"strong,":[46],"while":[47],"Province":[53],"weak.":[55],"The":[56,66,116,155,221,238],"Beijing-Tianjin-Hebei":[61,93,123,178,212,265],"severely":[64],"uneven.":[65],"\u201cBeijing-Tianjin-Hebei":[67],"Coordinated":[68],"Development":[69],"Strategy\u201d":[70],"proposed":[72,219,234,272,278],"elevated":[74],"a":[76,126,164,201],"national":[77,114],"strategy":[78],"this":[80,181,225],"context,":[81],"aiming":[82],"explore":[84],"path":[86],"coordinated":[88],"region,":[94],"promote":[95],"cooperation,":[97],"balance":[98],"differences,":[100],"enhance":[102],"overall":[104],"through":[113],"leadership.":[115],"collaborative":[118,173,207,260],"evaluation":[120,175,209,262],"classical":[127],"multiple":[128],"attribute":[129],"decision":[130],"making":[131],"(MADM)":[132],"problems.":[133],"Recently,":[134],"TODIM":[136],"Evaluation":[138],"based":[139,243],"on":[140,244],"Distance":[141],"from":[142],"Average":[143],"Solution":[144],"(EDAS)":[145],"method":[146,189,232,240,250,279],"has":[147],"been":[148],"used":[149,162],"cope":[151],"MADM":[153,195,239],"issues.":[154],"hesitant":[156,184],"triangular":[157,185],"fuzzy":[158,186],"sets":[159],"(HTFSs)":[160],"as":[163],"tool":[165],"for":[166,205,258],"characterizing":[167],"uncertain":[168],"information":[169,246],"during":[170],"region.":[179],"In":[180,198],"paper,":[182],"TODIM-EDAS":[187],"(HTF-TODIM-EDAS)":[188],"built":[191],"solve":[193],"under":[196,235,251],"HTFSs.":[197,236,252],"end,":[200],"numerical":[202,255],"case":[203,256],"study":[204,257],"given":[215,268],"validate":[217,270],"method.":[220,273],"main":[222],"contributions":[223],"paper":[226],"summarized:":[228],"(1)":[229],"HTF-TODIM-EDAS":[231,249],"(2)":[237],"designed":[242],"entropy":[247],"(3)":[253],"A":[254,275],"(4)":[274],"comparison":[276],"between":[277],"existing":[281],"methods":[282],"carried":[284],"out":[285],"check":[287],"its":[288],"effectiveness.":[289]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-30T23:17:42.513302","created_date":"2025-10-10T00:00:00"}