{"id":"https://openalex.org/W4388758233","doi":"https://doi.org/10.1109/tim.2023.3334361","title":"Basic Probability Assignment Using Intuitive Fuzzy Cloud Model for Information Fusion and Its Application in Fault Diagnosis","display_name":"Basic Probability Assignment Using Intuitive Fuzzy Cloud Model for Information Fusion and Its Application in Fault Diagnosis","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4388758233","doi":"https://doi.org/10.1109/tim.2023.3334361"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3334361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3334361","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5082651735","display_name":"Keyi Zhou","orcid":"https://orcid.org/0000-0002-2889-6764"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyi Zhou","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2889-6764","affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039464384","display_name":"Ningyun Lu","orcid":"https://orcid.org/0000-0002-9964-7677"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningyun Lu","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9964-7677","affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019157263","display_name":"Bin Jiang","orcid":"https://orcid.org/0000-0003-2696-5436"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Jiang","raw_affiliation_strings":["College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2696-5436","affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":2.0551,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89955516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.920799970626831,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.6182849407196045},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.612296998500824},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5954650044441223},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5412125587463379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5167326331138611},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5148669481277466},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4768323004245758},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4565843939781189},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.4398380517959595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4392077326774597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37435951828956604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6182849407196045},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.612296998500824},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5954650044441223},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5412125587463379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5167326331138611},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5148669481277466},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4768323004245758},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4565843939781189},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.4398380517959595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4392077326774597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37435951828956604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3334361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3334361","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3808168317","display_name":null,"funder_award_id":"62273176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3934741719","display_name":null,"funder_award_id":"2021YFB3301300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4837701714","display_name":null,"funder_award_id":"MCMS-I-0521G02","funder_id":"https://openalex.org/F4320327014","funder_display_name":"State Key Laboratory of Mechanics and Control of Mechanical Structures"},{"id":"https://openalex.org/G5201699523","display_name":null,"funder_award_id":"20200007018001","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320327014","display_name":"State Key Laboratory of Mechanics and Control of Mechanical Structures","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2001363449","https://openalex.org/W2048196003","https://openalex.org/W2070297042","https://openalex.org/W2078410661","https://openalex.org/W2082450642","https://openalex.org/W2196114029","https://openalex.org/W2360194595","https://openalex.org/W2403746960","https://openalex.org/W2567563454","https://openalex.org/W2583007213","https://openalex.org/W2933084981","https://openalex.org/W2946021995","https://openalex.org/W2963974674","https://openalex.org/W2973060168","https://openalex.org/W2980608982","https://openalex.org/W2985076077","https://openalex.org/W2989902081","https://openalex.org/W2996283780","https://openalex.org/W2997734707","https://openalex.org/W2998652672","https://openalex.org/W3007999534","https://openalex.org/W3008551000","https://openalex.org/W3026881828","https://openalex.org/W3035836614","https://openalex.org/W3083814148","https://openalex.org/W3095296270","https://openalex.org/W3100152026","https://openalex.org/W3120740533","https://openalex.org/W3129099600","https://openalex.org/W3144804712","https://openalex.org/W3156350688","https://openalex.org/W3173521342","https://openalex.org/W3176452618","https://openalex.org/W4211007335","https://openalex.org/W4226479421","https://openalex.org/W4250445821","https://openalex.org/W4281807633","https://openalex.org/W4285116605","https://openalex.org/W4286255715","https://openalex.org/W4289254296","https://openalex.org/W4294203928","https://openalex.org/W4296050352","https://openalex.org/W4313593865","https://openalex.org/W4319997978","https://openalex.org/W4360597135","https://openalex.org/W4366668768","https://openalex.org/W4378619706"],"related_works":["https://openalex.org/W79444681","https://openalex.org/W2383241417","https://openalex.org/W2956133731","https://openalex.org/W2018887750","https://openalex.org/W2355249486","https://openalex.org/W2355579697","https://openalex.org/W3135822842","https://openalex.org/W3036482021","https://openalex.org/W2382990537","https://openalex.org/W2373485445"],"abstract_inverted_index":{"Multisensor":[0],"information":[1,9,40,52,113],"fusion":[2,41,53,63],"technology":[3],"has":[4,20],"the":[5,49,71,93,96,116,124,130,145,164,170,176,181,184,195,215,242,246],"capability":[6],"to":[7,81,135,148,174,219,237],"integrate":[8],"from":[10],"multiple":[11],"sources,":[12],"significantly":[13],"enhancing":[14],"system":[15],"reliability":[16],"and":[17,35,230],"accuracy.":[18],"It":[19],"been":[21,192],"extensively":[22],"used":[23,218],"in":[24,203,227],"various":[25],"application":[26],"domains,":[27],"where":[28],"equipment":[29],"fault":[30,201],"diagnosis":[31,202],"is":[32,48,76,198,217],"a":[33,78,88,150,208],"typical":[34],"important":[36],"scenario":[37],"desiring":[38],"effective":[39],"methods.":[42],"The":[43,65,233],"Dempster\u2013Shafer":[44],"(DS)":[45],"evidence":[46],"theory":[47],"most":[50],"popular":[51],"method,":[54,187],"which":[55],"takes":[56],"Basic":[57],"Probability":[58],"Assignments":[59],"(BPAs)":[60],"as":[61],"its":[62,212],"elements.":[64],"precision":[66],"of":[67,154,183,211,245],"BPAs":[68,94,109,119,132,159,166],"directly":[69],"affects":[70],"decision":[72,177],"results;":[73],"however,":[74],"it":[75],"still":[77],"challenging":[79],"issue":[80],"obtain":[82,175],"reliable":[83],"BPAs.":[84],"This":[85,102],"article":[86],"proposes":[87],"novel":[89],"approach":[90],"for":[91,105,200],"generating":[92],"using":[95,169,224],"Intuitive":[97,138],"Fuzzy":[98,139],"Cloud":[99],"Model":[100],"(IFCM).":[101],"method":[103,197,216],"allows":[104],"obtaining":[106,158],"more":[107,151],"precise":[108],"by":[110,223],"quantifying":[111],"comprehensively":[112],"uncertainty.":[114],"Firstly,":[115],"initial":[117,131],"single-value":[118],"are":[120,141,167],"generated":[121],"based":[122],"on":[123],"similarities":[125],"among":[126],"cloud":[127,146,155],"models.":[128],"Since":[129],"obtained":[133],"tend":[134],"be":[136],"rough,":[137],"Sets":[140],"subsequently":[142],"introduced":[143],"into":[144],"models":[147],"get":[149],"detailed":[152],"partitioning":[153],"models,":[156],"thus":[157],"with":[160],"higher":[161],"discriminability.":[162],"Finally,":[163],"modified":[165],"fused":[168],"DS":[171],"combination":[172],"rules":[173],"results.":[178],"To":[179],"assess":[180],"effectiveness":[182],"proposed":[185,196,247],"BPAs-IFCM":[186],"comprehensive":[188],"experimental":[189,234],"verifications":[190],"have":[191],"conducted.":[193],"Initially,":[194],"employed":[199],"railway":[204],"vehicle":[205],"doors,":[206],"providing":[207],"practical":[209],"demonstration":[210],"effectiveness.":[213],"Additionally,":[214],"solve":[220],"classification":[221],"problems":[222],"UCI":[225],"datasets":[226],"pattern":[228],"recognition":[229],"machine":[231],"learning.":[232],"results,":[235],"compared":[236],"previous":[238],"advanced":[239],"methods,":[240],"indicate":[241],"superior":[243],"performance":[244],"method.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
