{"id":"https://openalex.org/W3082139201","doi":"https://doi.org/10.1109/fuzz48607.2020.9177631","title":"Interpreting Variational Autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers","display_name":"Interpreting Variational Autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082139201","doi":"https://doi.org/10.1109/fuzz48607.2020.9177631","mag":"3082139201"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-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/A5000626282","display_name":"Kutay B\u00f6lat","orcid":"https://orcid.org/0000-0001-6344-2568"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Kutay Bolat","raw_affiliation_strings":["Department of Control and Automation Engineering, Istanbul Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Control and Automation Engineering, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010725194","display_name":"Tufan Kumbasar","orcid":"https://orcid.org/0000-0001-9366-0240"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tufan Kumbasar","raw_affiliation_strings":["Department of Control and Automation Engineering, Istanbul Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Control and Automation Engineering, Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000626282"],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":1.3701,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85412523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9969000220298767,"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/T10320","display_name":"Neural Networks and Applications","score":0.9969000220298767,"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":0.9952999949455261,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9914000034332275,"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/softmax-function","display_name":"Softmax function","score":0.9057415723800659},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8371093273162842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7107118368148804},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6685383915901184},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6451203227043152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6201654672622681},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5120868682861328},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.48165786266326904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43162816762924194},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3893417716026306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37679535150527954},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32570505142211914}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9057415723800659},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8371093273162842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7107118368148804},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6685383915901184},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6451203227043152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6201654672622681},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5120868682861328},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.48165786266326904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43162816762924194},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3893417716026306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37679535150527954},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32570505142211914},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/57803","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/57803","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1423966491","https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W1970088388","https://openalex.org/W1995450389","https://openalex.org/W2097117768","https://openalex.org/W2100664567","https://openalex.org/W2163922914","https://openalex.org/W2172906148","https://openalex.org/W2434741482","https://openalex.org/W2436203038","https://openalex.org/W2518659603","https://openalex.org/W2618530766","https://openalex.org/W2753738274","https://openalex.org/W2787699504","https://openalex.org/W2807692250","https://openalex.org/W2924516512","https://openalex.org/W2951004968","https://openalex.org/W2952230511","https://openalex.org/W2956698489","https://openalex.org/W2963226019","https://openalex.org/W2963374347","https://openalex.org/W2967550017","https://openalex.org/W2979310190","https://openalex.org/W2979730642","https://openalex.org/W2979766873","https://openalex.org/W2994838458","https://openalex.org/W3013926797","https://openalex.org/W3083058908","https://openalex.org/W4254931243","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6683738474","https://openalex.org/W6718140377","https://openalex.org/W6744627333","https://openalex.org/W6748543854"],"related_works":["https://openalex.org/W4394785709","https://openalex.org/W4296978181","https://openalex.org/W2912987408","https://openalex.org/W2769441402","https://openalex.org/W2937381246","https://openalex.org/W2594436708","https://openalex.org/W3004801820","https://openalex.org/W4283819496","https://openalex.org/W4360994128","https://openalex.org/W4281672036"],"abstract_inverted_index":{"The":[0,109,125,136,199],"emerging":[1],"success":[2],"of":[3,39,53,70,92,96,118,128,144,184,195,205,233],"Deep":[4],"Learning":[5],"(DL)":[6],"in":[7,218],"various":[8],"application":[9],"areas":[10],"comes":[11],"also":[12],"with":[13,17,150,168,210,235],"the":[14,27,51,68,87,93,115,119,129,145,158,182,188,190,203,215,219,230],"questions":[15,22],"starting":[16],"\"How\"s":[18],"and":[19,32,57,64,98,161,193],"\"Why\"s.":[20],"These":[21],"can":[23,207,226],"be":[24,208,227],"answered":[25],"if":[26],"DL":[28,47,73,151],"methods":[29],"are":[30,62,138],"interpretable":[31],"thus":[33],"provide":[34,178],"a":[35,37,46,71,81,99,106],"certain":[36],"degree":[38],"explanation.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,221],"propose":[45],"framework":[48],"that":[49,114,147,163,202,223],"leverages":[50],"advantages":[52],"\u03b2-Variational":[54],"Autoencoder":[55],"(VAE)":[56],"Fuzzy":[58,75,100],"Sets":[59],"(FSs),":[60],"which":[61,89],"disentanglement":[63],"linguistic":[65,211,224],"representation,":[66],"for":[67,214,229],"design":[69,83],"novel":[72],"based":[74],"Classifier":[76],"(FC).":[77],"We":[78,153,174],"first":[79,216],"present":[80,154],"step-by-step":[82],"approach":[84],"to":[85,133,141,177,181],"construct":[86],"DL-FC":[88,164],"is":[90,111,123,131,148,165],"composed":[91],"encoder":[94],"layer":[95],"\u03b2-VAE":[97,110,130,234],"Logic":[101],"System":[102],"(FLS)":[103],"followed":[104],"by":[105,186],"softmax":[107],"layer.":[108],"trained":[112,149],"so":[113],"semantic":[116],"information":[117],"high":[120],"dimensional":[121],"data":[122],"captured.":[124],"latent":[126,191,197,231],"space":[127,232],"clustered":[132],"extract":[134],"FSs.":[135,236],"FSs":[137],"then":[139,175],"used":[140],"define":[142],"antecedents":[143,183,204],"FLS":[146,185,206],"methods.":[152],"results":[155,200],"conducted":[156],"on":[157],"MNIST":[159],"dataset":[160],"showed":[162,222],"quite":[166],"competitive":[167],"its":[169],"deep":[170],"neural":[171],"network":[172],"counterpart.":[173],"try":[176],"an":[179],"interpretation":[180],"examining":[187],"FSs,":[189],"traversals":[192],"heat-maps":[194],"each":[196],"dimension.":[198],"show":[201],"defined":[209,228],"interpretations.":[212],"Thus,":[213],"time":[217],"literature,":[220],"interpretations":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}