{"id":"https://openalex.org/W3014848791","doi":"https://doi.org/10.3390/a13040086","title":"Confidence-Based Voting for the Design of Interpretable Ensembles with Fuzzy Systems","display_name":"Confidence-Based Voting for the Design of Interpretable Ensembles with Fuzzy Systems","publication_year":2020,"publication_date":"2020-04-06","ids":{"openalex":"https://openalex.org/W3014848791","doi":"https://doi.org/10.3390/a13040086","mag":"3014848791"},"language":"en","primary_location":{"id":"doi:10.3390/a13040086","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a13040086","pdf_url":"https://www.mdpi.com/1999-4893/13/4/86/pdf?version=1587098369","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/13/4/86/pdf?version=1587098369","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002679497","display_name":"Vladimir Stanovov","orcid":"https://orcid.org/0000-0002-1695-5798"},"institutions":[{"id":"https://openalex.org/I4210105890","display_name":"Siberian State University of Telecommunications and Informatics","ror":"https://ror.org/019vbp610","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210105890"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Vladimir Stanovov","raw_affiliation_strings":["Institute of Informatics and Telecommunication, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics and Telecommunication, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia","institution_ids":["https://openalex.org/I4210105890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035659737","display_name":"Shakhnaz Akhmedova","orcid":"https://orcid.org/0000-0003-2927-1974"},"institutions":[{"id":"https://openalex.org/I4210105890","display_name":"Siberian State University of Telecommunications and Informatics","ror":"https://ror.org/019vbp610","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210105890"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Shakhnaz Akhmedova","raw_affiliation_strings":["Institute of Informatics and Telecommunication, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics and Telecommunication, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk 660037, Russia","institution_ids":["https://openalex.org/I4210105890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013435049","display_name":"Yukihiro Kamiya","orcid":"https://orcid.org/0000-0002-6246-9053"},"institutions":[{"id":"https://openalex.org/I45205469","display_name":"Aichi Prefectural University","ror":"https://ror.org/047n0b268","country_code":"JP","type":"education","lineage":["https://openalex.org/I45205469"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukihiro Kamiya","raw_affiliation_strings":["Department of Information Science and Technology, Aichi Prefectural University, Nakagute 480-1198, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, Aichi Prefectural University, Nakagute 480-1198, Japan","institution_ids":["https://openalex.org/I45205469"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002679497"],"corresponding_institution_ids":["https://openalex.org/I4210105890"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51590732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"13","issue":"4","first_page":"86","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9972000122070312,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9972000122070312,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9957000017166138,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9957000017166138,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6699658632278442},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6569142937660217},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6339539289474487},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.6285325288772583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.560039758682251},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.559647798538208},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5262885689735413},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.509847104549408},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4721239507198334}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6699658632278442},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6569142937660217},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6339539289474487},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.6285325288772583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.560039758682251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.559647798538208},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5262885689735413},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.509847104549408},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4721239507198334},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a13040086","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a13040086","pdf_url":"https://www.mdpi.com/1999-4893/13/4/86/pdf?version=1587098369","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b7068eabc8aa417eae2983e86c1047ec","is_oa":true,"landing_page_url":"https://doaj.org/article/b7068eabc8aa417eae2983e86c1047ec","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 13, Iss 4, p 86 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/13/4/86/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/a13040086","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Algorithms","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a13040086","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a13040086","pdf_url":"https://www.mdpi.com/1999-4893/13/4/86/pdf?version=1587098369","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014848791.pdf","grobid_xml":"https://content.openalex.org/works/W3014848791.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1493251701","https://openalex.org/W1659842140","https://openalex.org/W1678356000","https://openalex.org/W1964832275","https://openalex.org/W1977904727","https://openalex.org/W1988790447","https://openalex.org/W2093620744","https://openalex.org/W2101234009","https://openalex.org/W2146713522","https://openalex.org/W2157124852","https://openalex.org/W2168020168","https://openalex.org/W2326889167","https://openalex.org/W2422098725","https://openalex.org/W2615799874","https://openalex.org/W2620235053","https://openalex.org/W2760810119","https://openalex.org/W2775687281","https://openalex.org/W2801549487","https://openalex.org/W2911964244","https://openalex.org/W2974538082","https://openalex.org/W2982026416","https://openalex.org/W2999323915","https://openalex.org/W3004258009","https://openalex.org/W4212883601","https://openalex.org/W6675354045","https://openalex.org/W6701588411","https://openalex.org/W6773110419"],"related_works":["https://openalex.org/W2103111323","https://openalex.org/W3121841074","https://openalex.org/W2901018557","https://openalex.org/W2055572829","https://openalex.org/W1894159578","https://openalex.org/W4297796115","https://openalex.org/W3125086856","https://openalex.org/W2913388591","https://openalex.org/W3007653948","https://openalex.org/W1957831838"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"a":[3,66,106],"new":[4],"voting":[5,19],"procedure":[6],"for":[7,33,93,152,167],"combining":[8],"the":[9,28,34,37,45,51,60,70,75,82,94,100,103,122,127,136,141,144,147,158,161,170,175],"fuzzy":[10,29,38,52,79],"logic":[11],"based":[12],"classifiers":[13,16],"and":[14,32,77,81,173],"other":[15],"called":[17],"confidence-based":[18],"is":[20,49,54,63,72,90,110],"proposed.":[21],"This":[22],"method":[23],"combines":[24],"two":[25,118],"classifiers,":[26],"namely":[27],"classification":[30,171],"system,":[31,80],"cases":[35],"when":[36],"system":[39,53],"returns":[40],"high":[41],"confidence":[42],"levels,":[43],"i.e.,":[44],"returned":[46],"membership":[47],"value":[48],"large,":[50],"used":[55,151],"to":[56],"perform":[57],"classification,":[58],"otherwise,":[59],"second":[61],"classifier":[62,89],"applied.":[64],"As":[65],"result,":[67],"most":[68,95],"of":[69,102,108,120,143,160],"sample":[71],"classified":[73],"by":[74,130],"explainable":[76],"interpretable":[78,88],"second,":[83],"more":[84],"accurate,":[85],"but":[86],"less":[87],"applied":[91],"only":[92],"difficult":[96],"cases.":[97],"To":[98,139],"show":[99],"efficiency":[101,159],"proposed":[104,145,162],"approach,":[105,146],"set":[107],"experiments":[109],"performed":[111],"on":[112],"test":[113],"datasets,":[114],"as":[115,117,164],"well":[116],"problems":[119],"estimating":[121],"person\u2019s":[123],"emotional":[124],"state":[125],"with":[126],"data":[128],"collected":[129],"non-contact":[131],"vital":[132],"sensors,":[133],"which":[134],"use":[135],"Doppler":[137],"effect.":[138],"validate":[140],"accuracies":[142],"statistical":[148],"tests":[149],"were":[150],"comparison.":[153],"The":[154],"obtained":[155],"results":[156],"demonstrate":[157],"technique,":[163],"it":[165],"allows":[166],"both":[168],"improving":[169],"accuracy":[172],"explaining":[174],"decision":[176],"making":[177],"process.":[178]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
