{"id":"https://openalex.org/W4415482249","doi":"https://doi.org/10.1109/tase.2025.3625085","title":"Multi-UAV Cooperative Decision-Making Under Noisy and Uncertain Environments","display_name":"Multi-UAV Cooperative Decision-Making Under Noisy and Uncertain Environments","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415482249","doi":"https://doi.org/10.1109/tase.2025.3625085"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2025.3625085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3625085","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digibug.ugr.es/bitstream/10481/109383/1/IEEE-TASE.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017585981","display_name":"Qianlei Jia","orcid":"https://orcid.org/0000-0003-3827-3832"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianlei Jia","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001817720","display_name":"Francisco Javier Cabrerizo","orcid":"https://orcid.org/0000-0001-7012-8649"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Javier Cabrerizo","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","Andalusian Research Institute in Data Science and Computational Intelligence and the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]},{"raw_affiliation_string":"Andalusian Research Institute in Data Science and Computational Intelligence and the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040864288","display_name":"Ignacio Javier P\u00e9rez","orcid":"https://orcid.org/0000-0003-4253-8629"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ignacio Javier P\u00e9rez","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","Andalusian Research Institute in Data Science and Computational Intelligence and the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]},{"raw_affiliation_string":"Andalusian Research Institute in Data Science and Computational Intelligence and the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076657750","display_name":"Enrique Herrera\u2010Viedma","orcid":"https://orcid.org/0000-0002-7922-4984"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Enrique Herrera-Viedma","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","Andalusian Research Institute in Data Science and Computational Intelligence and the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]},{"raw_affiliation_string":"Andalusian Research Institute in Data Science and Computational Intelligence and the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I4210095677","https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017585981"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3525225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"23152","last_page":"23163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9136000275611877,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9136000275611877,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/adaptability","display_name":"Adaptability","score":0.6236000061035156},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4950000047683716},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4731999933719635},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4715000092983246},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4699999988079071},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.4440000057220459},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4361000061035156},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3912999927997589},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.38769999146461487},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.3813999891281128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6377000212669373},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6236000061035156},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4950000047683716},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4731999933719635},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4715000092983246},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4584999978542328},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.4440000057220459},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4361000061035156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4088999927043915},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40119999647140503},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3813999891281128},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3750999867916107},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.3749000132083893},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34599998593330383},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C92047909","wikidata":"https://www.wikidata.org/wiki/Q204034","display_name":"Hyperbolic function","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29010000824928284},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.2526000142097473},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2508000135421753},{"id":"https://openalex.org/C65660741","wikidata":"https://www.wikidata.org/wiki/Q3952743","display_name":"Score","level":2,"score":0.2502000033855438},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tase.2025.3625085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3625085","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:digibug.ugr.es:10481/109383","is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/109383","pdf_url":"https://digibug.ugr.es/bitstream/10481/109383/1/IEEE-TASE.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"SMUR"}],"best_oa_location":{"id":"pmh:oai:digibug.ugr.es:10481/109383","is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/109383","pdf_url":"https://digibug.ugr.es/bitstream/10481/109383/1/IEEE-TASE.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"SMUR"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2623827249","display_name":null,"funder_award_id":"62073266","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415482249.pdf","grobid_xml":"https://content.openalex.org/works/W4415482249.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2015807399","https://openalex.org/W2591878230","https://openalex.org/W2593514577","https://openalex.org/W2929732252","https://openalex.org/W2942525594","https://openalex.org/W2981506493","https://openalex.org/W2982416429","https://openalex.org/W3015592367","https://openalex.org/W3033844437","https://openalex.org/W3046751729","https://openalex.org/W3094557324","https://openalex.org/W3155383670","https://openalex.org/W3158471027","https://openalex.org/W3174463852","https://openalex.org/W3176186939","https://openalex.org/W4205773545","https://openalex.org/W4213053159","https://openalex.org/W4224983028","https://openalex.org/W4245152641","https://openalex.org/W4285197282","https://openalex.org/W4285805322","https://openalex.org/W4296913793","https://openalex.org/W4311001968","https://openalex.org/W4319837842","https://openalex.org/W4366504184","https://openalex.org/W4367323617","https://openalex.org/W4385752555","https://openalex.org/W4389609812","https://openalex.org/W4391892635","https://openalex.org/W4392843802","https://openalex.org/W4392931643","https://openalex.org/W4393180311","https://openalex.org/W4396598895","https://openalex.org/W4399070755","https://openalex.org/W4402404155","https://openalex.org/W4406250577"],"related_works":[],"abstract_inverted_index":{"In":[0,86,178],"the":[1,7,16,32,36,73,77,82,92,95,101,107,130,138,143,150,173,176,193],"process":[2,145],"of":[3,20,89,140,165,175,201],"multi-UAV":[4,166],"cooperative":[5,167],"decisionmaking,":[6],"information":[8,21,27,68,90,123,210],"evolution":[9,144],"model":[10,34,41,70,93,195],"plays":[11],"a":[12,113,118],"key":[13],"role":[14],"in":[15,42,48,199],"communication":[17,102],"and":[18,35,56,81,205],"fusion":[19,28,69],"among":[22,104],"multiple":[23],"agents.":[24,105],"However,":[25],"traditional":[26],"models,":[29],"such":[30],"as":[31,112],"DeGroot":[33],"Hegselmann-Krause":[37],"bounded":[38],"confidence":[39],"(HK)":[40],"opinion":[43],"dynamics,":[44],"have":[45],"certain":[46],"limitations":[47],"handling":[49],"complex":[50],"noisy":[51],"environments,":[52],"adjusting":[53],"weights":[54,139],"dynamically,":[55],"processing":[57],"linguistic":[58,122,209],"information.":[59],"To":[60,147],"address":[61],"these":[62],"challenges,":[63],"this":[64,128],"paper":[65],"proposes":[66],"an":[67],"that":[71,192],"integrates":[72],"social":[74,96,108],"network":[75,97,109],"mechanism,":[76],"hyperbolic":[78,131],"tangent":[79,132],"function,":[80],"Monte":[83,155],"Carlo":[84,156],"method.":[85],"each":[87],"round":[88],"iteration,":[91],"uses":[94],"structure":[98],"to":[99,136,171,207],"simulate":[100],"relationships":[103],"Specifically,":[106],"is":[110,124,134,169],"represented":[111],"binary":[114],"adjacency":[115],"matrix.":[116],"Then,":[117],"distance":[119],"measure":[120],"between":[121],"defined.":[125],"Based":[126],"on":[127],"distance,":[129],"function":[133],"used":[135,159],"determine":[137],"agents":[141],"during":[142],"dynamically.":[146],"fully":[148],"evaluate":[149],"model\u2019s":[151],"performance":[152],"under":[153],"noise,":[154],"simulations":[157],"are":[158,186],"for":[160],"statistical":[161],"analysis.":[162],"A":[163],"case":[164],"reconnaissance":[168],"presented":[170],"validate":[172],"effectiveness":[174],"model.":[177],"addition,":[179],"detailed":[180],"comparisons":[181],"with":[182],"several":[183],"existing":[184],"models":[185],"conducted.":[187],"The":[188],"experimental":[189],"results":[190],"show":[191],"proposed":[194],"demonstrates":[196],"clear":[197],"advantages":[198],"terms":[200],"anti-interference":[202],"capability,":[203],"stability,":[204],"adaptability":[206],"various":[208],"environments.":[211]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-23T00:00:00"}