{"id":"https://openalex.org/W4394965666","doi":"https://doi.org/10.1142/s0218488524500089","title":"Fuzzy Data Association-Towards Better Uncertainty Tracking in Clutter Environments","display_name":"Fuzzy Data Association-Towards Better Uncertainty Tracking in Clutter Environments","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4394965666","doi":"https://doi.org/10.1142/s0218488524500089"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488524500089","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488524500089","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based 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/A5041274974","display_name":"Yi Jen Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Jen Peng","raw_affiliation_strings":["Department of Medical and Healthcare Business, Hsin Sheng College of Medical Care and Management, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical and Healthcare Business, Hsin Sheng College of Medical Care and Management, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100313888","display_name":"Chun-Ta Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chun-Ta Lin","raw_affiliation_strings":["Department of Information Management, Yu Da University of Science and Technology, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Yu Da University of Science and Technology, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085256592","display_name":"Yee Ming Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yee Ming Chen","raw_affiliation_strings":["Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan-Tung Rd., Zhongli District, Taoyuan, Taiwan, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0944-8648","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan-Tung Rd., Zhongli District, Taoyuan, Taiwan, P. R. China","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085256592"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":0.6294,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71876563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"32","issue":"02","first_page":"185","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9962999820709229,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9962999820709229,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9850999712944031,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7977495193481445},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.6827840209007263},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.6598432660102844},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.559333086013794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5170281529426575},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4770737886428833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46757060289382935},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34554705023765564},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24674686789512634},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.13499236106872559},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07633206248283386},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.06288889050483704}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7977495193481445},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.6827840209007263},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.6598432660102844},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.559333086013794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5170281529426575},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4770737886428833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46757060289382935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34554705023765564},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24674686789512634},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.13499236106872559},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07633206248283386},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.06288889050483704},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218488524500089","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488524500089","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W576301840","https://openalex.org/W794624801","https://openalex.org/W1513008779","https://openalex.org/W1552746160","https://openalex.org/W1763746263","https://openalex.org/W1963523427","https://openalex.org/W1965305830","https://openalex.org/W2016914595","https://openalex.org/W2048161719","https://openalex.org/W2085629492","https://openalex.org/W2121827990","https://openalex.org/W2122246449","https://openalex.org/W2129078811","https://openalex.org/W2142515220","https://openalex.org/W2160329169","https://openalex.org/W2171219871","https://openalex.org/W2323583783","https://openalex.org/W2613185366","https://openalex.org/W2796305283","https://openalex.org/W2893651543","https://openalex.org/W2911358668","https://openalex.org/W2913523297","https://openalex.org/W3142707146","https://openalex.org/W4214562291","https://openalex.org/W4232044315","https://openalex.org/W4246598646","https://openalex.org/W4302114005"],"related_works":["https://openalex.org/W2013741627","https://openalex.org/W2139793004","https://openalex.org/W2389084676","https://openalex.org/W1998764991","https://openalex.org/W2097396029","https://openalex.org/W2352562594","https://openalex.org/W2523883203","https://openalex.org/W2172267623","https://openalex.org/W4297796009","https://openalex.org/W2031358465"],"abstract_inverted_index":{"The":[0,155,187],"goal":[1],"of":[2,56,101,104,139,157,218,221],"explainable":[3],"artificial":[4],"intelligence":[5],"(XAI)":[6],"is":[7,26,131],"to":[8,89,125,134,142,203],"solve":[9],"problems":[10,46],"in":[11,31,47,51,150,210],"a":[12,183,199],"way":[13],"that":[14],"humans":[15],"can":[16],"understand":[17],"how":[18],"it":[19],"does":[20],"it.":[21],"For":[22],"data":[23,79,91,107,173,181,212],"association":[24,80,108,137,174,213],"there":[25],"growing":[27],"demand":[28],"for":[29,74],"XAI,":[30],"which":[32],"the":[33,77,97,136,158,166,170,206,211,216,222],"measurement":[34,219],"uncertainty":[35,42],"and":[36,59,70,110,145,169,214],"target":[37,49,224],"(dynamic":[38],"or/and":[39],"measurement)":[40],"model":[41],"are":[43,83,115,122],"two":[44,102,120],"fundamental":[45],"maneuvering":[48,223],"tracking":[50,128,161,192,225],"clutter.":[52],"It":[53],"commonly":[54],"suffers":[55],"false":[57],"alarms":[58],"missed":[60],"detections.":[61],"These":[62],"situations":[63],"focus":[64],"on":[65],"enhancing":[66],"explainability,":[67],"mitigating":[68],"bias":[69],"creating":[71],"better":[72],"outcomes":[73],"all.":[75],"Most":[76],"probabilistic":[78,172],"(PDA)":[81],"methods":[82],"weakly":[84],"able,":[85],"or":[86],"even":[87],"unable,":[88],"explain":[90],"association.":[92],"To":[93],"overcome":[94],"these":[95,119],"situations,":[96],"XAI":[98,195],"components":[99,196],"employed":[100,124],"modules":[103,121],"Fuzzy-joint":[105],"probability":[106],"(FJDA)":[109],"Fuzzy":[111],"maneuver":[112,127,153,160,191],"compensator":[113],"(FMC)":[114],"first":[116],"established.":[117],"Next,":[118],"further":[123],"construct":[126],"scheme,":[129],"FJDA":[130],"then":[132],"utilized":[133],"evaluate":[135],"degree":[138],"measurements":[140],"belonging":[141],"different":[143],"targets":[144],"FMC":[146],"plays":[147],"compensation":[148],"role":[149],"accordance":[151],"with":[152,165,226],"need.":[154],"performances":[156],"proposed":[159,190],"scheme":[162,193],"were":[163],"compared":[164],"PDA":[167],"method":[168,176],"joint":[171],"(JPDA)":[175],"using":[177],"simulated":[178],"radar":[179],"surveillance":[180],"under":[182],"high":[184],"cluttered":[185],"environment.":[186],"numerical":[188],"simulation":[189],"embedded":[194],"FJDA/FCM":[197],"having":[198],"remarkable":[200],"improvement,":[201],"due":[202],"fully":[204],"utilize":[205],"useful":[207],"knowledge":[208],"information":[209],"reduces":[215],"impact":[217],"uncertainties":[220],"changing":[227],"dynamics.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}