{"id":"https://openalex.org/W7118172480","doi":"https://doi.org/10.1109/aiccsa66935.2025.11315141","title":"Incremental learning approach using fuzzy logic to mitigate catastrophic forgetting","display_name":"Incremental learning approach using fuzzy logic to mitigate catastrophic forgetting","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7118172480","doi":"https://doi.org/10.1109/aiccsa66935.2025.11315141"},"language":null,"primary_location":{"id":"doi:10.1109/aiccsa66935.2025.11315141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa66935.2025.11315141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACS 22nd International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061545076","display_name":"L\u00edvia de Souza Alexandre","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L\u00edvia de Souza Alexandre","raw_affiliation_strings":["Universidade Federal de Pernambuco,Dep. of Computer Science,Recife,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco,Dep. of Computer Science,Recife,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057157251","display_name":"C. Zanchettin","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cleber Zanchettin","raw_affiliation_strings":["Universidade Federal de Pernambuco,Dep. of Computer Science,Recife,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco,Dep. of Computer Science,Recife,Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8963000178337097,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8963000178337097,"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/T11448","display_name":"Face recognition and analysis","score":0.011099999770522118,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.009700000286102295,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/forgetting","display_name":"Forgetting","score":0.8931999802589417},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5978000164031982},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5681999921798706},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.49540001153945923},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48910000920295715},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41690000891685486},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.41280001401901245}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8931999802589417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223000288009644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6021999716758728},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5978000164031982},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5681999921798706},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.49540001153945923},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48910000920295715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4731999933719635},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.41280001401901245},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.3905999958515167},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3154999911785126},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.28040000796318054},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa66935.2025.11315141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa66935.2025.11315141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACS 22nd International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W826471991","https://openalex.org/W2112796928","https://openalex.org/W2134557905","https://openalex.org/W2166273580","https://openalex.org/W2473930607","https://openalex.org/W2533598788","https://openalex.org/W3030364939","https://openalex.org/W3134939446","https://openalex.org/W3154224745","https://openalex.org/W3198636227","https://openalex.org/W3213520177","https://openalex.org/W4391582455","https://openalex.org/W4400446725","https://openalex.org/W4400910490","https://openalex.org/W4400945490","https://openalex.org/W4401604061","https://openalex.org/W4408770293"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,162],"propose":[4],"a":[5,164],"new":[6,43,107,140],"approach":[7,27,143],"that":[8,86,126],"integrates":[9],"Elastic":[10],"Weight":[11],"Consolidation":[12],"(EWC)":[13],"with":[14,51],"fuzzy":[15,52,94,155,195],"reasoning":[16,156],"to":[17,40,42,77,105,114,118,167],"address":[18],"catastrophic":[19,171],"forgetting":[20,32,172],"in":[21,82,116,136,147,178,197],"continual":[22,198],"learning":[23],"scenarios.":[24],"The":[25],"EWC-Fuzzy":[26],"mitigates":[28],"the":[29,38,56,60,83,93,98,106,119,137,145,168,175,184,190],"challenge":[30,169],"of":[31,139,170,192],"previously":[33],"learned":[34,129],"knowledge":[35,130],"while":[36,131],"enabling":[37],"model":[39,57,127],"adapt":[41],"tasks":[44],"by":[45],"balancing":[46],"neural":[47,84],"network":[48,85],"weight":[49],"regularization":[50],"rule":[53,95],"adaptation.":[54],"Initially,":[55],"learns":[58],"from":[59],"first":[61],"task":[62],"without":[63,109],"EWC":[64,74,110,153,193],"regularization,":[65,111],"allowing":[66,112],"for":[67,89,186],"standard":[68],"backpropagation-based":[69],"learning.":[70,199],"For":[71],"subsequent":[72],"tasks,":[73],"is":[75],"introduced":[76],"prevent":[78],"significant":[79],"parameter":[80],"changes":[81],"are":[87],"critical":[88],"previous":[90],"tasks.":[91,141],"Meanwhile,":[92],"parameters-such":[96],"as":[97],"centers,":[99],"widths,":[100],"and":[101,134,154,173,194],"outputs-dynamically":[102],"evolve":[103],"according":[104],"data":[108,120],"them":[113],"self-organize":[115],"response":[117],"distribution.":[121],"This":[122,181],"dual":[123],"mechanism":[124],"ensures":[125],"preserves":[128],"remaining":[132],"flexible":[133],"adaptable":[135],"face":[138],"Our":[142],"addresses":[144],"gap":[146],"current":[148],"research,":[149],"which":[150],"often":[151],"treats":[152],"independently.":[157],"By":[158],"integrating":[159],"these":[160],"techniques,":[161],"provide":[163],"promising":[165],"solution":[166],"enhance":[174],"model\u2019s":[176],"adaptability":[177],"dynamic":[179],"environments.":[180],"study":[182],"lays":[183],"groundwork":[185],"further":[187],"exploration":[188],"into":[189],"fusion":[191],"systems":[196]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-05T00:00:00"}
