{"id":"https://openalex.org/W3013569048","doi":"https://doi.org/10.1109/access.2020.2982647","title":"Team Recommendation Using Order-Based Fuzzy Integral and NSGA-II in StarCraft","display_name":"Team Recommendation Using Order-Based Fuzzy Integral and NSGA-II in StarCraft","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013569048","doi":"https://doi.org/10.1109/access.2020.2982647","mag":"3013569048"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2982647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982647","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044841.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044841.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lin Wang","orcid":"https://orcid.org/0000-0002-5740-102X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-5740-102X","affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653058","display_name":"Yifeng Zeng","orcid":"https://orcid.org/0000-0002-5246-403X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I874055015","display_name":"Teesside University","ror":"https://ror.org/03z28gk75","country_code":"GB","type":"education","lineage":["https://openalex.org/I874055015"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yifeng Zeng","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","School of Computing, Teesside University, Middlesbrough, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5246-403X","affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Computing, Teesside University, Middlesbrough, U.K","institution_ids":["https://openalex.org/I874055015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023647082","display_name":"Bilian Chen","orcid":"https://orcid.org/0000-0001-5805-072X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bilian Chen","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision-Making, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-5805-072X","affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision-Making, Xiamen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085263461","display_name":"Yinghui Pan","orcid":"https://orcid.org/0000-0001-5715-2855"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui Pan","raw_affiliation_strings":["Department of Information Systems, Jiangxi University of Finance and Economics, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-5715-2855","affiliations":[{"raw_affiliation_string":"Department of Information Systems, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101936719","display_name":"Langcai Cao","orcid":"https://orcid.org/0000-0001-6388-1413"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Langcai Cao","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-6388-1413","affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5416,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72696167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"59559","last_page":"59570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12290","display_name":"Human Motion and Animation","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T11197","display_name":"Digital Games and Media","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5906984806060791},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5511170029640198},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5160419940948486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37835434079170227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5906984806060791},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5511170029640198},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5160419940948486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37835434079170227},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.2982647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982647","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044841.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:https://research.tees.ac.uk/ws/oai:openaire/042f4e2a-80fc-4686-b22e-41d7166c4d6b","is_oa":false,"landing_page_url":"https://research.tees.ac.uk/en/publications/042f4e2a-80fc-4686-b22e-41d7166c4d6b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402475","display_name":"Teesside University Research Portal (Teesside University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I874055015","host_organization_name":"Teesside University","host_organization_lineage":["https://openalex.org/I874055015"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, L, Zeng, Y, Chen, B, Pan, Y & Cao, L 2020, 'Team Recommendation Using Order-based Fuzzy Integral and NSGA-II in StarCraft', IEEE Access, vol. 1, no. 12, pp. 1-13.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:b8b9dcac14894f66873db081196838c7","is_oa":true,"landing_page_url":"https://doaj.org/article/b8b9dcac14894f66873db081196838c7","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 59559-59570 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2982647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982647","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044841.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5010047309","display_name":null,"funder_award_id":"61806089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5101471005","display_name":null,"funder_award_id":"11671335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7097245526","display_name":"\u7c7b\u4eba\u4efb\u52a1\u89c4\u5212\u3001\u63a8\u7406\u53ca\u5176\u9a8c\u8bc1\u7cfb\u7edf\u7684\u7814\u7a76\u548c\u5e94\u7528","funder_award_id":"61836005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7833536237","display_name":"\u57fa\u4e8e\u503c\u7b49\u4ef7\u7684\u4ea4\u4e92\u5f0f\u52a8\u6001\u5f71\u54cd\u56fe\u7684\u6c42\u89e3\u65b9\u6cd5\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"61772442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8558553778","display_name":"\u57fa\u4e8e\u6570\u636e\u9a71\u52a8\u7684\u591a\u667a\u80fd\u4f53\u4ea4\u4e92\u5f0f\u52a8\u6001\u5f71\u54cd\u56fe\u7b97\u6cd5\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"61562033","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013569048.pdf","grobid_xml":"https://content.openalex.org/works/W3013569048.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1507321583","https://openalex.org/W1589331835","https://openalex.org/W1612556207","https://openalex.org/W1750339092","https://openalex.org/W1957430778","https://openalex.org/W1986674604","https://openalex.org/W2007281745","https://openalex.org/W2022504108","https://openalex.org/W2046917097","https://openalex.org/W2083705347","https://openalex.org/W2110889990","https://openalex.org/W2112438132","https://openalex.org/W2116661285","https://openalex.org/W2117444972","https://openalex.org/W2124337023","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2180746787","https://openalex.org/W2182353947","https://openalex.org/W2604283518","https://openalex.org/W2728163731","https://openalex.org/W2730357202","https://openalex.org/W2749807327","https://openalex.org/W2756196406","https://openalex.org/W2785556016","https://openalex.org/W2794254934","https://openalex.org/W2890388262","https://openalex.org/W2962801197","https://openalex.org/W2962991582","https://openalex.org/W2963340985","https://openalex.org/W2963571817","https://openalex.org/W2963729301","https://openalex.org/W2968472303","https://openalex.org/W3043771091","https://openalex.org/W4242487828","https://openalex.org/W4299335686","https://openalex.org/W6636658889","https://openalex.org/W6637770179","https://openalex.org/W6685683007","https://openalex.org/W6740640171","https://openalex.org/W6743756900","https://openalex.org/W6744537943","https://openalex.org/W6754417988","https://openalex.org/W6780661845"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,32,80,101,133,170,192,265,275],"the":[3,33,99,110,113,129,139,147,164,171,175,180,188,202,206,210,223,238,263,273,276],"well-known":[4],"real-time":[5],"strategy":[6],"games,":[7],"StarCraft":[8,22,211],"has":[9,76],"become":[10],"an":[11,46],"important":[12],"benchmark":[13],"for":[14,116,226,257],"game":[15],"artificial":[16],"intelligence":[17],"research.":[18],"Previous":[19],"works":[20],"in":[21,36,51,205,260],"mostly":[23,269],"focused":[24],"on":[25],"strategic":[26,37],"planning":[27],"and":[28,85,155,179,214,262],"tactical":[29],"reasoning.":[30],"One":[31],"key":[34],"issues":[35],"planning,":[38],"namely":[39],"unit":[40,103],"selection,":[41],"is":[42,67,87],"to":[43,71,121,137,162,174,200,236],"build":[44],"up":[45],"army,":[47],"so":[48,135],"called":[49,234],"team":[50,74,148,159,172,227],"this":[52,143],"article,":[53,144],"with":[54,222,253],"appropriate":[55],"units":[56,259],"which":[57,126],"can":[58,185,249],"gain":[59],"massive":[60],"destroy":[61],"power":[62,191],"against":[63],"enemy's":[64,277],"army.":[65],"It":[66],"still":[68],"a":[69,73,77,82,107,131,151,157,168,193,232,254],"challenge":[70],"determine":[72],"that":[75,98,245],"good":[78],"chance":[79],"defeating":[81],"specified":[83],"army":[84],"there":[86],"no":[88],"any":[89],"formal":[90],"algorithm":[91,161,198,248],"solving":[92],"it":[93],"directly":[94],"at":[95],"present.":[96],"Considering":[97],"number":[100,132],"each":[102],"will":[104,127],"change":[105],"during":[106],"game,":[108],"if":[109],"player":[111,130],"encounters":[112],"same":[114],"enemy":[115],"multiple":[117,123],"times,":[118],"we":[119,145,230],"need":[120],"select":[122],"winning":[124,140,251],"troops,":[125],"give":[128],"choices":[134],"as":[136,150],"increase":[138],"chance.":[141],"In":[142],"formulate":[146],"recommendation":[149,160],"multi-objective":[152],"optimization":[153],"problem":[154],"propose":[156],"novel":[158],"solve":[163],"problem.":[165],"We":[166,195],"add":[167],"normalization":[169],"size":[173,274],"order-based":[176,182],"fuzzy":[177,183,203,207,224],"integral":[178,184,208,225],"normalized":[181],"better":[186],"estimate":[187],"relative":[189],"combat":[190],"team.":[194,278],"use":[196,231],"genetic":[197],"(GA)":[199],"learn":[201],"measure":[204],"from":[209],"replay":[212],"data":[213],"adopt":[215],"Non-Dominated":[216],"Sorting":[217],"Genetic":[218],"Algorithm":[219],"(NSGA-II)":[220],"combined":[221],"recommendation.":[228],"Finally":[229],"simulator":[233],"SparCraft":[235],"examine":[237],"new":[239],"algorithm.":[240],"The":[241],"experimental":[242],"results":[243],"show":[244],"our":[246],"proposed":[247],"recommend":[250],"teams":[252,267],"high":[255],"accuracy":[256],"ordinary":[258],"StarCraft,":[261],"sizes":[264],"recommended":[266],"are":[268],"not":[270],"larger":[271],"than":[272]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}