{"id":"https://openalex.org/W4409517318","doi":"https://doi.org/10.1080/01605682.2025.2488486","title":"The recycling value assessment of new energy vehicles via fuzzy convolutional bidirectional learning","display_name":"The recycling value assessment of new energy vehicles via fuzzy convolutional bidirectional learning","publication_year":2025,"publication_date":"2025-04-15","ids":{"openalex":"https://openalex.org/W4409517318","doi":"https://doi.org/10.1080/01605682.2025.2488486"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2025.2488486","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2025.2488486","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","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/A5052369892","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0002-0849-1524"},"institutions":[{"id":"https://openalex.org/I4210088341","display_name":"University of Finance and Economics","ror":"https://ror.org/005d8s603","country_code":"MN","type":"education","lineage":["https://openalex.org/I4210088341"]},{"id":"https://openalex.org/I49185572","display_name":"Yunnan University of Finance And Economics","ror":"https://ror.org/04rhev598","country_code":"CN","type":"education","lineage":["https://openalex.org/I49185572"]}],"countries":["CN","MN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["School of Finance, Yunnan University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Finance, Yunnan University of Finance and Economics","institution_ids":["https://openalex.org/I4210088341","https://openalex.org/I49185572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038918683","display_name":"Cesheng Zhang","orcid":"https://orcid.org/0000-0002-3202-8273"},"institutions":[{"id":"https://openalex.org/I4210088341","display_name":"University of Finance and Economics","ror":"https://ror.org/005d8s603","country_code":"MN","type":"education","lineage":["https://openalex.org/I4210088341"]},{"id":"https://openalex.org/I49185572","display_name":"Yunnan University of Finance And Economics","ror":"https://ror.org/04rhev598","country_code":"CN","type":"education","lineage":["https://openalex.org/I49185572"]}],"countries":["CN","MN"],"is_corresponding":true,"raw_author_name":"Cesheng Zhang","raw_affiliation_strings":["School of Economics, Yunnan University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics, Yunnan University of Finance and Economics","institution_ids":["https://openalex.org/I4210088341","https://openalex.org/I49185572"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100437308","display_name":"Zeshui Xu","orcid":"https://orcid.org/0000-0003-3547-2908"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeshui Xu","raw_affiliation_strings":["Business School, Sichuan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business School, Sichuan University","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038918683"],"corresponding_institution_ids":["https://openalex.org/I4210088341","https://openalex.org/I49185572"],"apc_list":null,"apc_paid":null,"fwci":0.5512,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6534496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"77","issue":"2","first_page":"499","last_page":"515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12017","display_name":"Recycling and Waste Management Techniques","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12017","display_name":"Recycling and Waste Management Techniques","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11091","display_name":"Extraction and Separation Processes","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/fuzzy-logic","display_name":"Fuzzy logic","score":0.5857869386672974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.565301775932312},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.469339519739151},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4651295840740204},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4452303647994995},{"id":"https://openalex.org/keywords/environmental-economics","display_name":"Environmental economics","score":0.42318540811538696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33710572123527527},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23688670992851257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18950775265693665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10852378606796265},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1061200201511383},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09696009755134583}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5857869386672974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.565301775932312},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.469339519739151},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4651295840740204},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4452303647994995},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.42318540811538696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33710572123527527},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23688670992851257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18950775265693665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10852378606796265},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1061200201511383},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09696009755134583}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01605682.2025.2488486","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2025.2488486","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G1532113797","display_name":null,"funder_award_id":"72071176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3172746461","display_name":null,"funder_award_id":"72471205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1980564456","https://openalex.org/W2050262998","https://openalex.org/W2079457935","https://openalex.org/W2107335457","https://openalex.org/W2530908316","https://openalex.org/W2775057512","https://openalex.org/W2949068435","https://openalex.org/W2973224539","https://openalex.org/W2983762108","https://openalex.org/W3019433526","https://openalex.org/W3021048621","https://openalex.org/W3039273193","https://openalex.org/W3040694753","https://openalex.org/W3094805524","https://openalex.org/W3121324858","https://openalex.org/W3135685413","https://openalex.org/W3174629884","https://openalex.org/W4200329783","https://openalex.org/W4205771230","https://openalex.org/W4211007335","https://openalex.org/W4224292371","https://openalex.org/W4225396539","https://openalex.org/W4239165868","https://openalex.org/W4286494022","https://openalex.org/W4293859721","https://openalex.org/W4294643517","https://openalex.org/W4319881063","https://openalex.org/W4376119933","https://openalex.org/W4378804670","https://openalex.org/W4386913955","https://openalex.org/W4388009228","https://openalex.org/W4388343094","https://openalex.org/W4392696357","https://openalex.org/W4392824695","https://openalex.org/W4394734234","https://openalex.org/W4399489945","https://openalex.org/W4405269308"],"related_works":["https://openalex.org/W2049150502","https://openalex.org/W1967500081","https://openalex.org/W2365751862","https://openalex.org/W2172599225","https://openalex.org/W2945191958","https://openalex.org/W4285411252","https://openalex.org/W2176627345","https://openalex.org/W2379531677","https://openalex.org/W2373948225","https://openalex.org/W2365537987"],"abstract_inverted_index":{"The":[0],"value":[1,46,143,154],"assessment":[2,15,47,155],"in":[3,58],"the":[4,14,20,29,44,49,71,77,82,89,103,118,122,135,160,163,168,186],"recycling":[5,45,142,153],"process":[6,175],"of":[7,23,32,52,152,162,188],"new":[8,65,104,123,145],"energy":[9,146],"vehicles":[10],"is":[11,16,48,156,182],"crucial.":[12],"However,":[13],"inevitably":[17],"influenced":[18],"by":[19,69,117],"subjective":[21],"judgments":[22],"experts":[24],"or":[25],"decision-makers,":[26],"which":[27],"have":[28],"obvious":[30],"properties":[31],"inherent":[33],"subjectivity":[34],"and":[35,40,81,106,115,131,138,173],"ambiguity.":[36],"How":[37],"to":[38,133,158],"quantify":[39],"integrate":[41],"them":[42],"into":[43],"main":[50],"aim":[51],"this":[53,59,189],"study.":[54,190],"To":[55],"do":[56],"this,":[57],"article,":[60],"we":[61,92,125],"first":[62],"develop":[63],"a":[64,94,140,179],"deep":[66],"learning":[67,174],"method":[68,96],"fusing":[70],"hesitant":[72,98],"fuzzy":[73,99],"set":[74],"(HFS)":[75],"with":[76],"temporal":[78],"convolutional":[79],"network":[80],"bidirectional":[83],"long":[84],"short-term":[85],"memory":[86],"network,":[87],"namely":[88],"HF-TCN-BiLSTM.":[90,119],"Meanwhile,":[91],"propose":[93],"reorganization":[95,169],"for":[97,144],"information,":[100],"so":[101],"that":[102,167],"HFSs":[105],"complex":[107],"evaluation":[108,137],"data":[109],"can":[110],"be":[111],"directly":[112],"modeled,":[113],"learned,":[114],"computed":[116],"Based":[120],"on":[121],"models,":[124],"further":[126],"design":[127],"their":[128],"computational":[129],"algorithm":[130],"pseudocode":[132],"achieve":[134],"optimal":[136],"provide":[139],"reasonable":[141],"vehicles.":[147],"Afterward,":[148],"an":[149],"illustrated":[150],"example":[151],"provided":[157],"demonstrate":[159],"feasibility":[161],"proposed":[164],"methods,":[165],"showing":[166],"method,":[170],"comprehensive":[171],"networks,":[172],"are":[176],"effective.":[177],"Lastly,":[178],"comparative":[180],"analysis":[181],"presented,":[183],"fully":[184],"demonstrating":[185],"validity":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}