{"id":"https://openalex.org/W4401329489","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611865","title":"Bi-Capacity Choquet Integral for Sensor Fusion with Label Uncertainty","display_name":"Bi-Capacity Choquet Integral for Sensor Fusion with Label Uncertainty","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401329489","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611865"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee60900.2024.10611865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.03212","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093097141","display_name":"Hersh Vakharia","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hersh Vakharia","raw_affiliation_strings":["University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076328887","display_name":"Xiaoxiao Du","orcid":"https://orcid.org/0000-0003-1504-966X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Du","raw_affiliation_strings":["University of Michigan,Ann Arbor,MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan,Ann Arbor,MI","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5093097141"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.5005,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67938523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9520000219345093,"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"}},{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9090999960899353,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/choquet-integral","display_name":"Choquet integral","score":0.8863011598587036},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5354886651039124},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5297879576683044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4712280035018921},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38174861669540405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33763617277145386},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.0520482063293457}],"concepts":[{"id":"https://openalex.org/C112799922","wikidata":"https://www.wikidata.org/wiki/Q5104911","display_name":"Choquet integral","level":3,"score":0.8863011598587036},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5354886651039124},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5297879576683044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4712280035018921},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38174861669540405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33763617277145386},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.0520482063293457},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee60900.2024.10611865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2409.03212","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.03212","pdf_url":"https://arxiv.org/pdf/2409.03212","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.03212","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.03212","pdf_url":"https://arxiv.org/pdf/2409.03212","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G6712411471","display_name":null,"funder_award_id":"IIS-2153171-CRII","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401329489.pdf","grobid_xml":"https://content.openalex.org/works/W4401329489.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W102351278","https://openalex.org/W1555603165","https://openalex.org/W1578736039","https://openalex.org/W1910108985","https://openalex.org/W1975038015","https://openalex.org/W2018696312","https://openalex.org/W2036234778","https://openalex.org/W2110119381","https://openalex.org/W2110265366","https://openalex.org/W2117866632","https://openalex.org/W2118246710","https://openalex.org/W2124073038","https://openalex.org/W2126965957","https://openalex.org/W2150318464","https://openalex.org/W2159966040","https://openalex.org/W2177500681","https://openalex.org/W2269649163","https://openalex.org/W2361164429","https://openalex.org/W2434930227","https://openalex.org/W2558299738","https://openalex.org/W2571156573","https://openalex.org/W2611551294","https://openalex.org/W2756635220","https://openalex.org/W2791134662","https://openalex.org/W2946905971","https://openalex.org/W2963150697","https://openalex.org/W3008787144","https://openalex.org/W3088228034","https://openalex.org/W3104934048","https://openalex.org/W3113796099","https://openalex.org/W3162755386","https://openalex.org/W3182836980","https://openalex.org/W3183881215","https://openalex.org/W3192575047","https://openalex.org/W3192595951","https://openalex.org/W4388517670","https://openalex.org/W4388517671","https://openalex.org/W7019393343"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4213046089","https://openalex.org/W1541916863","https://openalex.org/W2042690472","https://openalex.org/W2110605196","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Sensor":[0],"fusion":[1,36,69,119,160,202,221],"combines":[2],"data":[3,15,54,100,180],"from":[4],"multiple":[5,38],"sensor":[6,139,153,201],"sources":[7,101,140,154],"to":[8,62,128,158,176,218],"improve":[9],"reliability,":[10],"robustness,":[11],"and":[12,155,191,197],"accuracy":[13],"of":[14,98,134,136,179,182,214],"interpretation.":[16],"The":[17],"Fuzzy":[18],"Integral":[19],"(FI),":[20],"in":[21,92],"particular,":[22],"the":[23,75,81,95,130,137,152,212,215],"Choquet":[24,117],"integral":[25],"(ChI),":[26],"is":[27,70],"often":[28,71],"used":[29],"as":[30],"a":[31,115,142],"powerful":[32],"nonlinear":[33],"aggregator":[34],"for":[35,51,147,200],"across":[37],"sensors.":[39],"However,":[40],"existing":[41],"supervised":[42],"ChI":[43,68],"learning":[44],"algorithms":[45],"typically":[46],"require":[47],"precise":[48],"training":[49,172],"labels":[50,173],"each":[52],"input":[53,99,138],"point,":[55],"which":[56,79,125],"can":[57,89,156],"be":[58,90],"difficult":[59],"or":[60],"impossible":[61],"obtain.":[63],"Additionally,":[64],"prior":[65],"work":[66],"on":[67,74,141,194,211],"based":[72],"only":[73],"normalized":[76],"fuzzy":[77,82,216],"measures,":[78],"bounds":[80],"measure":[83],"values":[84],"between":[85,105,132,151],"[0,":[86],"1].":[87],"This":[88,145],"limiting":[91],"cases":[93],"where":[94,171],"underlying":[96],"scales":[97],"are":[102,174],"bipolar":[103],"(i.e.,":[104],"[\u22121,":[106],"1]).":[107],"To":[108],"address":[109],"these":[110],"challenges,":[111],"this":[112],"paper":[113],"proposes":[114],"novel":[116],"integral-based":[118],"framework,":[120],"named":[121],"Bi-MIChI":[122,162,186],"(pronounced":[123],"\u201cbi-mi-kee\u201d),":[124],"uses":[126],"bi-capacities":[127],"represent":[129],"interactions":[131,150],"pairs":[133],"subsets":[135],"bi-polar":[143],"scale.":[144],"allows":[146],"extended":[148],"non-linear":[149],"lead":[157],"interesting":[159],"results.":[161],"also":[163,207],"addresses":[164],"label":[165,204],"uncertainty":[166],"through":[167],"Multiple":[168],"Instance":[169],"Learning,":[170],"applied":[175],"\u201cbags\u201d":[177],"(sets)":[178],"instead":[181],"per-instance.":[183],"Our":[184],"proposed":[185],"framework":[187],"shows":[188],"effective":[189],"classification":[190],"detection":[192],"performance":[193],"both":[195],"synthetic":[196],"real-world":[198],"experiments":[199],"with":[203],"uncertainty.":[205],"We":[206],"provide":[208],"detailed":[209],"analyses":[210],"behavior":[213],"measures":[217],"demonstrate":[219],"our":[220],"process.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}