{"id":"https://openalex.org/W4248296058","doi":"https://doi.org/10.1145/3495018.3501165","title":"Electric vehicle satisfaction analysis model based on TOPSIS-entropy weight-grey relational analysis","display_name":"Electric vehicle satisfaction analysis model based on TOPSIS-entropy weight-grey relational analysis","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4248296058","doi":"https://doi.org/10.1145/3495018.3501165"},"language":"en","primary_location":{"id":"doi:10.1145/3495018.3501165","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3501165","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-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/A5044251910","display_name":"Zeyu Zhu","orcid":"https://orcid.org/0009-0001-4468-5086"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeyu Zhu","raw_affiliation_strings":["Henan University, China"],"affiliations":[{"raw_affiliation_string":"Henan University, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056347507","display_name":"Jiaming Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Peng","raw_affiliation_strings":["Henan University, China"],"affiliations":[{"raw_affiliation_string":"Henan University, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054156494","display_name":"Xianghe Du","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghe Du","raw_affiliation_strings":["Henan University, China"],"affiliations":[{"raw_affiliation_string":"Henan University, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067202837","display_name":"Zhenghong Gao","orcid":"https://orcid.org/0000-0002-8014-4519"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghong Gao","raw_affiliation_strings":["Henan University, China"],"affiliations":[{"raw_affiliation_string":"Henan University, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044251910"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":null,"apc_paid":null,"fwci":0.2836,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56213464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2697","last_page":"2701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/grey-relational-analysis","display_name":"Grey relational analysis","score":0.8915396928787231},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.8546589612960815},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6873154640197754},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682199597358704},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.4549902677536011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35968565940856934},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3292413353919983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17997980117797852},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1702471375465393},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.10952228307723999}],"concepts":[{"id":"https://openalex.org/C64734493","wikidata":"https://www.wikidata.org/wiki/Q5608296","display_name":"Grey relational analysis","level":2,"score":0.8915396928787231},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.8546589612960815},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6873154640197754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682199597358704},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.4549902677536011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35968565940856934},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3292413353919983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17997980117797852},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1702471375465393},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.10952228307723999},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3495018.3501165","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3501165","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2802063269","https://openalex.org/W2979558831","https://openalex.org/W3010852232","https://openalex.org/W3044515030","https://openalex.org/W3100693027","https://openalex.org/W3101117497","https://openalex.org/W3101220048","https://openalex.org/W3105324058","https://openalex.org/W3111901996","https://openalex.org/W3128840946","https://openalex.org/W3133908236","https://openalex.org/W3135508940"],"related_works":["https://openalex.org/W2355511198","https://openalex.org/W2744391954","https://openalex.org/W2359284531","https://openalex.org/W2367235275","https://openalex.org/W2127368611","https://openalex.org/W2355331022","https://openalex.org/W1763219791","https://openalex.org/W1990321825","https://openalex.org/W2116479904","https://openalex.org/W3008294857"],"abstract_inverted_index":{"With":[0],"the":[1,4,9,22,25,31,54,64,76,96,103,106,123],"development":[2,23],"of":[3,11,24,33,43,57,72,78,99],"new":[5,119],"energy":[6],"automobile":[7],"industry,":[8],"measurement":[10],"various":[12],"brand":[13],"evaluation":[14,56,62,74,126],"indicators":[15],"has":[16],"become":[17],"an":[18],"important":[19],"factor":[20],"in":[21,53,114],"industry.":[26],"In":[27],"order":[28],"to":[29],"solve":[30],"problem":[32],"multi-index":[34,124],"comprehensive":[35,55,125],"evaluation,":[36],"this":[37,115],"paper":[38,116],"proposes":[39],"a":[40,67,118],"combination":[41,111],"model":[42,65,112],"TOPSIS-entropy":[44,107],"weight-grey":[45,108],"relational":[46,109],"analysis.":[47],"The":[48],"experimental":[49],"results":[50],"show":[51],"that":[52,81],"electric":[58,79],"vehicle":[59],"brands":[60],"and":[61],"indicators,":[63],"draws":[66],"conclusion":[68],"from":[69],"horizontal":[70],"analysis":[71,92,110],"eight":[73],"indicators:":[75],"indicator":[77],"vehicles":[80],"consumers":[82],"care":[83],"most":[84],"about":[85],"is":[86],"power,":[87],"followed":[88],"by":[89],"economy;":[90],"longitudinal":[91],"can":[93],"get":[94],"three":[95],"overall":[97],"score":[98],"each":[100],"brand.":[101],"At":[102],"same":[104],"time,":[105],"proposed":[113],"provides":[117],"possibility":[120],"for":[121],"solving":[122],"problem.":[127]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}