{"id":"https://openalex.org/W4385782911","doi":"https://doi.org/10.1007/s40747-023-01188-z","title":"Three-way decision based on ITARA and public weights DEA under picture fuzzy environment and its application in new energy vehicles selection","display_name":"Three-way decision based on ITARA and public weights DEA under picture fuzzy environment and its application in new energy vehicles selection","publication_year":2023,"publication_date":"2023-08-12","ids":{"openalex":"https://openalex.org/W4385782911","doi":"https://doi.org/10.1007/s40747-023-01188-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01188-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01188-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01188-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01188-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077270067","display_name":"Meiqin Wu","orcid":"https://orcid.org/0000-0001-6126-1122"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meiqin Wu","raw_affiliation_strings":["School of Economics and Management, Shanxi University, Taiyuan, 030006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Shanxi University, Taiyuan, 030006, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101565001","display_name":"Jiawen Song","orcid":"https://orcid.org/0000-0002-1818-7884"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen Song","raw_affiliation_strings":["School of Economics and Management, Shanxi University, Taiyuan, 030006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Shanxi University, Taiyuan, 030006, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008509532","display_name":"Jianping Fan","orcid":"https://orcid.org/0000-0001-8094-0294"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Fan","raw_affiliation_strings":["School of Economics and Management, Shanxi University, Taiyuan, 030006, China"],"raw_orcid":"https://orcid.org/0000-0001-8094-0294","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Shanxi University, Taiyuan, 030006, China","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077270067"],"corresponding_institution_ids":["https://openalex.org/I181877577"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":2.7121,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90421825,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"10","issue":"1","first_page":"927","last_page":"947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9986000061035156,"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":0.9986000061035156,"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/T10539","display_name":"Sustainable Supply Chain Management","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.948199987411499,"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/computer-science","display_name":"Computer science","score":0.5929844975471497},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.550709068775177},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5345913767814636},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4880122244358063},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4636223614215851},{"id":"https://openalex.org/keywords/supplier-evaluation","display_name":"Supplier evaluation","score":0.45911166071891785},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4408063292503357},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.430813729763031},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42767447233200073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3902817964553833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37668582797050476},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1793110966682434},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16070041060447693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15351325273513794},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.15209311246871948},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12389099597930908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5929844975471497},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.550709068775177},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5345913767814636},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4880122244358063},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4636223614215851},{"id":"https://openalex.org/C2778897053","wikidata":"https://www.wikidata.org/wiki/Q125783","display_name":"Supplier evaluation","level":4,"score":0.45911166071891785},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4408063292503357},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.430813729763031},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42767447233200073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3902817964553833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37668582797050476},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1793110966682434},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16070041060447693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15351325273513794},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.15209311246871948},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12389099597930908},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01188-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01188-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01188-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a4ba5c3993ae437abfc26d3b22274fed","is_oa":true,"landing_page_url":"https://doaj.org/article/a4ba5c3993ae437abfc26d3b22274fed","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 1, Pp 927-947 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01188-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01188-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01188-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385782911.pdf"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1511669739","https://openalex.org/W1559875088","https://openalex.org/W1980564456","https://openalex.org/W1981579882","https://openalex.org/W2020407132","https://openalex.org/W2032172961","https://openalex.org/W2033401964","https://openalex.org/W2076452041","https://openalex.org/W2079457935","https://openalex.org/W2083886104","https://openalex.org/W2094983775","https://openalex.org/W2118319424","https://openalex.org/W2207918553","https://openalex.org/W2385257316","https://openalex.org/W2506768821","https://openalex.org/W2526675547","https://openalex.org/W2540140736","https://openalex.org/W2591767974","https://openalex.org/W2605693713","https://openalex.org/W2734543528","https://openalex.org/W2771288112","https://openalex.org/W2784166218","https://openalex.org/W2804105936","https://openalex.org/W2889077617","https://openalex.org/W2892217886","https://openalex.org/W2892294644","https://openalex.org/W2900287232","https://openalex.org/W2901786337","https://openalex.org/W2944957012","https://openalex.org/W2946804760","https://openalex.org/W2965284014","https://openalex.org/W2969124341","https://openalex.org/W2981601811","https://openalex.org/W2993383518","https://openalex.org/W2999049732","https://openalex.org/W3003123368","https://openalex.org/W3011491235","https://openalex.org/W3088775364","https://openalex.org/W3090875717","https://openalex.org/W3118522260","https://openalex.org/W3125464730","https://openalex.org/W3132815858","https://openalex.org/W3155791648","https://openalex.org/W3157761412","https://openalex.org/W3179393967","https://openalex.org/W3185100774","https://openalex.org/W3196284037","https://openalex.org/W3197037623","https://openalex.org/W3199296570","https://openalex.org/W3210442615","https://openalex.org/W4206191874","https://openalex.org/W4206554879","https://openalex.org/W4211007335","https://openalex.org/W4220976005","https://openalex.org/W4252261464","https://openalex.org/W4255833381","https://openalex.org/W4283763275","https://openalex.org/W4302773455","https://openalex.org/W4307903597","https://openalex.org/W4311434429","https://openalex.org/W4312601031","https://openalex.org/W4316690390","https://openalex.org/W4322718836","https://openalex.org/W4381740798","https://openalex.org/W6677635724"],"related_works":["https://openalex.org/W2801360836","https://openalex.org/W4378625608","https://openalex.org/W2285000485","https://openalex.org/W2989675511","https://openalex.org/W2575034914","https://openalex.org/W4210814276","https://openalex.org/W2350527959","https://openalex.org/W2049019028","https://openalex.org/W1967167012","https://openalex.org/W4287583259"],"abstract_inverted_index":{"Abstract":[0],"Petroleum":[1],"is":[2,24,126,134,148,161,189],"the":[3,9,28,35,58,77,95,101,111,116,129,137,151,156,164,170,175,184,187],"main":[4],"power":[5],"of":[6,19,37,69,140,186],"automobiles,":[7],"yet":[8],"environmental":[10],"pollution":[11],"it":[12],"brings":[13],"has":[14],"caused":[15],"globally.":[16],"The":[17],"promotion":[18],"new":[20],"energy":[21],"vehicles":[22,47],"(NEVs)":[23],"effective.":[25],"Even":[26],"though":[27],"governments":[29],"have":[30],"introduced":[31],"various":[32],"supports":[33],"for":[34,136,150,163],"popularization":[36],"NEVs,":[38],"many":[39],"enterprises":[40],"and":[41,55,66,90,153,180],"individuals":[42],"continue":[43],"to":[44,75,87],"drive":[45],"gas":[46],"as":[48,83],"they":[49],"are":[50,98],"poorly":[51],"informed":[52],"about":[53],"them":[54],"cannot":[56],"choose":[57],"right":[59],"products.":[60],"This":[61],"paper":[62],"proposes":[63],"a":[64,84],"categorization":[65,152],"ranking":[67],"model":[68,188],"NEVs":[70,158],"over":[71],"three-way":[72],"decisions":[73],"(TWD)":[74],"tackle":[76],"problem.":[78],"Picture":[79],"fuzzy":[80,113,120,131,146],"sets":[81],"serve":[82],"valid":[85],"tool":[86],"describe":[88],"uncertainty":[89],"fuzziness":[91],"information.":[92],"At":[93],"first,":[94],"attribute":[96,104],"weights":[97],"ascertained":[99],"with":[100,169],"indifference":[102],"threshold-based":[103],"ratio":[105],"analysis":[106,123,168],"(ITARA)":[107],"method":[108,177],"improved":[109],"by":[110,128,191],"picture":[112,119,130,145],"distance.":[114],"Then,":[115],"public":[117],"weight":[118],"data":[121],"envelopment":[122],"(DEA)":[124],"which":[125],"enhanced":[127],"aggregation":[132],"operator":[133],"employed":[135],"conditional":[138],"probability":[139],"decision":[141],"units.":[142],"Third,":[143],"updated":[144],"TWD":[147],"utilized":[149],"ranking.":[154],"Fourth,":[155],"enterprise":[157],"selection":[159],"case":[160],"tested":[162],"model.":[165],"Later,":[166],"comparative":[167],"classical":[171],"methods":[172],"illustrates":[173],"that":[174],"proposed":[176],"yields":[178],"accurate":[179],"reliable":[181],"decisions.":[182],"Finally,":[183],"robustness":[185],"demonstrated":[190],"sensitivity":[192],"analysis.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
