{"id":"https://openalex.org/W4312723679","doi":"https://doi.org/10.1109/tfuzz.2022.3214001","title":"Two-Stream Fused Fuzzy Deep Neural Network for Multiagent Learning","display_name":"Two-Stream Fused Fuzzy Deep Neural Network for Multiagent Learning","publication_year":2022,"publication_date":"2022-10-12","ids":{"openalex":"https://openalex.org/W4312723679","doi":"https://doi.org/10.1109/tfuzz.2022.3214001"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2022.3214001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3214001","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","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/A5050652723","display_name":"Baofu Fang","orcid":"https://orcid.org/0000-0002-1742-0250"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baofu Fang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-1742-0250","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070479749","display_name":"Caiming Zheng","orcid":"https://orcid.org/0000-0002-4752-6435"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiming Zheng","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4752-6435","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618081","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-5963-6252"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5963-6252","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102857061","display_name":"YU Ting-ting","orcid":"https://orcid.org/0009-0006-5297-7800"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Yu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3295,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93205896,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":"2","first_page":"511","last_page":"520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9962000250816345,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9962000250816345,"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/T14011","display_name":"Elevator Systems and Control","score":0.9955000281333923,"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/T10524","display_name":"Traffic control and management","score":0.9934999942779541,"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":0.7730072736740112},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6393352746963501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6081112027168274},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5389142632484436},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5078368782997131},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5042895078659058},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47930994629859924},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43253758549690247},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4118573069572449},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40606316924095154},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11800029873847961}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730072736740112},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6393352746963501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6081112027168274},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5389142632484436},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5078368782997131},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5042895078659058},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47930994629859924},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43253758549690247},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4118573069572449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40606316924095154},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11800029873847961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2022.3214001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3214001","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G3905093359","display_name":null,"funder_award_id":"1708085MF146","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1551593752","https://openalex.org/W1982865616","https://openalex.org/W2101036899","https://openalex.org/W2108892923","https://openalex.org/W2144801703","https://openalex.org/W2145339207","https://openalex.org/W2155027007","https://openalex.org/W2184188583","https://openalex.org/W2247742123","https://openalex.org/W2305205647","https://openalex.org/W2395575420","https://openalex.org/W2417420127","https://openalex.org/W2587948115","https://openalex.org/W2613020517","https://openalex.org/W2617547828","https://openalex.org/W2736601468","https://openalex.org/W2747213132","https://openalex.org/W2910040013","https://openalex.org/W2915117209","https://openalex.org/W2922988740","https://openalex.org/W2998187693","https://openalex.org/W3004640943","https://openalex.org/W3012544176","https://openalex.org/W3018779742","https://openalex.org/W3036295212","https://openalex.org/W3039273193","https://openalex.org/W3091240653","https://openalex.org/W3189694631","https://openalex.org/W4214717370","https://openalex.org/W6683204974","https://openalex.org/W6686207219","https://openalex.org/W6712181171","https://openalex.org/W6737707654","https://openalex.org/W6739516088","https://openalex.org/W6741002519","https://openalex.org/W6752164047","https://openalex.org/W6773620346","https://openalex.org/W6775342081","https://openalex.org/W6779416026","https://openalex.org/W6787496176"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W4376166922","https://openalex.org/W2490526372","https://openalex.org/W4221142204"],"abstract_inverted_index":{"In":[0],"multiagent":[1,151],"reinforcement":[2],"learning":[3],"(RL),":[4],"multilayer":[5],"fully":[6],"connected":[7],"neural":[8,99,135],"network":[9,100],"is":[10,25,60,85,117],"used":[11,86],"for":[12,160],"value":[13],"function":[14],"approximation,":[15],"which":[16,122,147],"solves":[17],"large-scale":[18,177],"or":[19],"continuous":[20],"space":[21],"problems.":[22],"However,":[23],"it":[24],"easy":[26],"to":[27,72,104,154],"fall":[28],"into":[29,150],"a":[30,47,118],"local":[31],"optimal":[32],"and":[33,78,108,132,164],"overfitting":[34],"under":[35,166],"partially":[36,167],"observed":[37,168],"environments.":[38,169],"Because":[39],"each":[40],"agent":[41],"lacks":[42],"the":[43,54,62,73,82,88,106,113,123,128,133,138,162],"information":[44,111,131],"that":[45,191],"plays":[46],"key":[48],"role":[49],"in":[50,65,112,121,175],"decision":[51],"making":[52],"beyond":[53],"observation":[55],"field.":[56],"Even":[57],"if":[58,81],"communication":[59,66,89,114,158],"allowed,":[61],"received":[63],"informations":[64,159],"channel":[67],"have":[68],"large":[69],"noise":[70,109,139],"due":[71],"observations":[74],"of":[75,110,130,140,184],"other":[76],"agents":[77],"strong":[79],"uncertainty":[80,107,129],"agent's":[83],"policy":[84],"as":[87],"information.":[90,141],"To":[91],"tackle":[92],"this":[93],"problem,":[94],"two-stream":[95],"fused":[96],"fuzzy":[97,124],"deep":[98,134,152],"(2s-FDNN)":[101],"was":[102],"proposed":[103],"reduce":[105],"channel.":[115],"It":[116],"parallel":[119],"structure":[120],"inference":[125],"module":[126,136],"reduces":[127,137],"Then,":[142],"we":[143],"presented":[144],"Fuzzy":[145],"MA2C":[146],"integrates":[148],"2s-FDNN":[149],"RL":[153,200],"deal":[155],"with":[156],"uncertain":[157],"improving":[161],"robustness":[163],"generalization":[165],"We":[170],"empirically":[171],"evaluate":[172],"our":[173,192],"methods":[174,193],"two":[176],"traffic":[178],"signal":[179],"control":[180],"environments":[181],"using":[182],"simulation":[183],"urban":[185],"mobility":[186],"(SUMO)":[187],"simulator.":[188],"Results":[189],"demonstrate":[190],"can":[194],"achieve":[195],"superior":[196],"performance":[197],"against":[198],"existing":[199],"algorithms.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}