{"id":"https://openalex.org/W4223916742","doi":"https://doi.org/10.1155/2022/9446175","title":"Construction of Evaluation Model of Tennis Skills and Tactic Level and Application of Grey Relational Algorithm","display_name":"Construction of Evaluation Model of Tennis Skills and Tactic Level and Application of Grey Relational Algorithm","publication_year":2022,"publication_date":"2022-04-13","ids":{"openalex":"https://openalex.org/W4223916742","doi":"https://doi.org/10.1155/2022/9446175"},"language":"en","primary_location":{"id":"doi:10.1155/2022/9446175","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9446175","pdf_url":"https://downloads.hindawi.com/journals/js/2022/9446175.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2022/9446175.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000160562","display_name":"Ling Wang","orcid":"https://orcid.org/0000-0003-4425-4363"},"institutions":[{"id":"https://openalex.org/I4210136682","display_name":"Heze University","ror":"https://ror.org/041zje040","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Wang","raw_affiliation_strings":["School of Physical Education and Health, Heze University, Heze, Shandong 274000, China"],"raw_orcid":"https://orcid.org/0000-0003-4425-4363","affiliations":[{"raw_affiliation_string":"School of Physical Education and Health, Heze University, Heze, Shandong 274000, China","institution_ids":["https://openalex.org/I4210136682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000160562"],"corresponding_institution_ids":["https://openalex.org/I4210136682"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.0852,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72950512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12677","display_name":"Sports Dynamics and Biomechanics","score":0.9578999876976013,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/athletes","display_name":"Athletes","score":0.634034276008606},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.6219966411590576},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5262381434440613},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5215030312538147},{"id":"https://openalex.org/keywords/grey-relational-analysis","display_name":"Grey relational analysis","score":0.5041631460189819},{"id":"https://openalex.org/keywords/elite","display_name":"Elite","score":0.4567926228046417},{"id":"https://openalex.org/keywords/elite-athletes","display_name":"Elite athletes","score":0.44819605350494385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4331793189048767},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.3526111841201782},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3521970212459564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30562812089920044},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25790196657180786},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22886937856674194},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.12096703052520752}],"concepts":[{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.634034276008606},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6219966411590576},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5262381434440613},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5215030312538147},{"id":"https://openalex.org/C64734493","wikidata":"https://www.wikidata.org/wiki/Q5608296","display_name":"Grey relational analysis","level":2,"score":0.5041631460189819},{"id":"https://openalex.org/C2775987171","wikidata":"https://www.wikidata.org/wiki/Q192797","display_name":"Elite","level":3,"score":0.4567926228046417},{"id":"https://openalex.org/C2993494880","wikidata":"https://www.wikidata.org/wiki/Q1816033","display_name":"Elite athletes","level":3,"score":0.44819605350494385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4331793189048767},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.3526111841201782},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3521970212459564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30562812089920044},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25790196657180786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22886937856674194},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.12096703052520752},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2022/9446175","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9446175","pdf_url":"https://downloads.hindawi.com/journals/js/2022/9446175.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bf08e18d05df4222b6be390809639019","is_oa":false,"landing_page_url":"https://doaj.org/article/bf08e18d05df4222b6be390809639019","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/9446175","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9446175","pdf_url":"https://downloads.hindawi.com/journals/js/2022/9446175.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4223916742.pdf","grobid_xml":"https://content.openalex.org/works/W4223916742.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1654350396","https://openalex.org/W1762192969","https://openalex.org/W2202411278","https://openalex.org/W2339518206","https://openalex.org/W2482486815","https://openalex.org/W2532580979","https://openalex.org/W2551772724","https://openalex.org/W2583421180","https://openalex.org/W2588390289","https://openalex.org/W2610181098","https://openalex.org/W2804462778","https://openalex.org/W2808222669","https://openalex.org/W2888502647","https://openalex.org/W2928111338","https://openalex.org/W2936925665","https://openalex.org/W2937523084","https://openalex.org/W2950669294","https://openalex.org/W2990887122","https://openalex.org/W2996585810","https://openalex.org/W3028903741","https://openalex.org/W3033244903","https://openalex.org/W3093679293","https://openalex.org/W3163301450","https://openalex.org/W3168534892","https://openalex.org/W3176269288"],"related_works":["https://openalex.org/W4230594836","https://openalex.org/W2235195555","https://openalex.org/W4241180089","https://openalex.org/W1978694941","https://openalex.org/W4245487936","https://openalex.org/W2347904737","https://openalex.org/W2003030231","https://openalex.org/W2371703260","https://openalex.org/W1969655624","https://openalex.org/W4312194662"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,6,17,27,33,37,41,46,49,61,102,110,115,120,148,156,169],"application":[3],"characteristics":[4],"of":[5,20,29,84,87,106,123,150,158,172],"world\u2019s":[7],"elite":[8],"tennis":[9,88,107,173],"players\u2019":[10],"skills":[11,103,124,174],"and":[12,22,40,77,90,104,125,128,175],"tactics,":[13],"this":[14,140],"paper":[15],"establishes":[16],"evaluation":[18,63,71,82,121,157],"model":[19,122,141],"skill":[21,89],"tactic":[23,91,126],"level.":[24],"According":[25],"to":[26,59,147,155],"principle":[28],"normal":[30],"distribution,":[31],"taking":[32],"overall":[34,42],"average":[35],"as":[36,45],"reference":[38],"value":[39],"standard":[43,66],"deviation":[44,50],"discrete":[47],"distance,":[48],"method":[51],"commonly":[52],"used":[53],"in":[54],"sports":[55,160],"statistics":[56],"is":[57,67,93,137,164],"adopted":[58],"formulate":[60],"grade":[62],"standard.":[64],"The":[65,80],"divided":[68],"into":[69],"five":[70],"grades:":[72],"excellent,":[73],"good,":[74],"passing,":[75],"poor,":[76],"extremely":[78],"poor.":[79],"equivalent":[81],"scale":[83],"diagnostic":[85],"indexes":[86],"level":[92],"established.":[94],"It":[95],"also":[96,154],"discusses":[97],"many":[98],"factors":[99],"that":[100,139],"characterize":[101],"tactics":[105],"singles.":[108],"At":[109],"same":[111],"time,":[112],"it":[113,136],"introduces":[114],"grey":[116],"relational":[117],"algorithm,":[118],"constructs":[119],"level,":[127],"makes":[129],"an":[130],"example":[131],"application.":[132],"Through":[133],"experimental":[134],"analysis,":[135],"concluded":[138],"can":[142],"be":[143],"applied":[144],"not":[145],"only":[146],"diagnosis":[149],"individual":[151],"athletes":[152],"but":[153],"a":[159],"team.":[161],"This":[162],"article":[163],"aimed":[165],"at":[166],"further":[167],"enriching":[168],"analysis":[170],"system":[171],"tactics.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}