{"id":"https://openalex.org/W4413435825","doi":"https://doi.org/10.1142/s2424922x25300015","title":"Review of Deep Learning Revolution on Neuro-Fuzzy Systems","display_name":"Review of Deep Learning Revolution on Neuro-Fuzzy Systems","publication_year":2025,"publication_date":"2025-08-22","ids":{"openalex":"https://openalex.org/W4413435825","doi":"https://doi.org/10.1142/s2424922x25300015"},"language":"en","primary_location":{"id":"doi:10.1142/s2424922x25300015","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2424922x25300015","pdf_url":null,"source":{"id":"https://openalex.org/S4210189353","display_name":"Advances in Data Science and Adaptive Analysis","issn_l":"2424-922X","issn":["2424-922X","2424-9238"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Science and Adaptive Analysis","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/A5116049803","display_name":"Riya Rawal","orcid":"https://orcid.org/0000-0002-1917-6650"},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Riya Rawal","raw_affiliation_strings":["USIC&T, GGSIPU, Dwarka, New Delhi 110078, India"],"raw_orcid":"https://orcid.org/0000-0002-1917-6650","affiliations":[{"raw_affiliation_string":"USIC&T, GGSIPU, Dwarka, New Delhi 110078, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064896366","display_name":"Anuradha Chug","orcid":"https://orcid.org/0000-0002-3139-4490"},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anuradha Chug","raw_affiliation_strings":["USIC&T, GGSIPU, Dwarka, New Delhi 110078, India"],"raw_orcid":"https://orcid.org/0000-0002-3139-4490","affiliations":[{"raw_affiliation_string":"USIC&T, GGSIPU, Dwarka, New Delhi 110078, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104248763","display_name":"Amit Prakash Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Prakash Singh","raw_affiliation_strings":["USIC&T, GGSIPU, Dwarka, New Delhi 110078, India"],"raw_orcid":"https://orcid.org/0000-0002-8675-6903","affiliations":[{"raw_affiliation_string":"USIC&T, GGSIPU, Dwarka, New Delhi 110078, India","institution_ids":["https://openalex.org/I105454292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9042,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77269506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"17","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.26840001344680786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.26840001344680786,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5791314840316772},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.5543496012687683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.494716614484787},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43511471152305603},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.35360628366470337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3322209119796753},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3299694061279297},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24187567830085754},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.21235015988349915}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5791314840316772},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.5543496012687683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.494716614484787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43511471152305603},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.35360628366470337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3322209119796753},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3299694061279297},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24187567830085754},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.21235015988349915}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s2424922x25300015","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2424922x25300015","pdf_url":null,"source":{"id":"https://openalex.org/S4210189353","display_name":"Advances in Data Science and Adaptive Analysis","issn_l":"2424-922X","issn":["2424-922X","2424-9238"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Science and Adaptive Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1831066695","display_name":null,"funder_award_id":"BT/PR45388/133/58/2022","funder_id":"https://openalex.org/F4320320717","funder_display_name":"Department of Biotechnology, Ministry of Science and Technology, India"}],"funders":[{"id":"https://openalex.org/F4320320717","display_name":"Department of Biotechnology, Ministry of Science and Technology, India","ror":"https://ror.org/03tjsyq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1658041435","https://openalex.org/W1849987175","https://openalex.org/W2007339694","https://openalex.org/W2019207321","https://openalex.org/W2032521963","https://openalex.org/W2057694691","https://openalex.org/W2076063813","https://openalex.org/W2079325629","https://openalex.org/W2124450561","https://openalex.org/W2141614013","https://openalex.org/W2146713522","https://openalex.org/W2512153427","https://openalex.org/W2604319603","https://openalex.org/W2614961786","https://openalex.org/W2783104254","https://openalex.org/W2796698500","https://openalex.org/W2904681872","https://openalex.org/W2912721718","https://openalex.org/W2913772749","https://openalex.org/W2919115771","https://openalex.org/W2921150294","https://openalex.org/W2922005503","https://openalex.org/W2948646149","https://openalex.org/W2973210406","https://openalex.org/W2974516669","https://openalex.org/W2978722586","https://openalex.org/W3004391528","https://openalex.org/W3020259708","https://openalex.org/W3021933602","https://openalex.org/W3036317186","https://openalex.org/W3048264598","https://openalex.org/W3081224875","https://openalex.org/W3096474692","https://openalex.org/W3102432579","https://openalex.org/W3126917856","https://openalex.org/W3127988635","https://openalex.org/W3135028703","https://openalex.org/W3135685413","https://openalex.org/W3168822248","https://openalex.org/W3204721342","https://openalex.org/W4206050892","https://openalex.org/W4225270208","https://openalex.org/W4230539245","https://openalex.org/W4251270879","https://openalex.org/W4289979025","https://openalex.org/W4313532340","https://openalex.org/W4320921143","https://openalex.org/W4392927074"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Hybrid":[0],"intelligent":[1],"systems,":[2,7],"also":[3,80,96],"known":[4],"as":[5,87],"neuro-fuzzy":[6,83,110,205,223],"are":[8,26,67],"a":[9,114],"fusion":[10],"of":[11,59,100,120,134,148],"fuzzy":[12,62],"logic":[13],"with":[14,109],"neural":[15,60],"networks.":[16],"They":[17],"hold":[18],"immense":[19],"potential":[20,190],"in":[21,35,179,198,208],"tackling":[22],"complex":[23],"tasks":[24],"and":[25,31,48,55,64,90,130,138,188,206,222],"often":[27],"prone":[28],"to":[29,72,112,226],"error":[30],"ambiguity,":[32],"sparking":[33,231],"curiosity":[34],"their":[36,65,93,144,164,218,236],"capabilities.":[37],"This":[38,78,182],"review":[39,183],"paper":[40,184],"delves":[41],"into":[42,75],"the":[43,70,98,118,173,176,189,195,202,232],"foundations,":[44],"architectures,":[45,85],"applications,":[46],"challenges,":[47],"future":[49,199],"research":[50,178],"possibilities":[51],"published":[52],"between":[53],"2018":[54],"2023.":[56],"The":[57,146],"fundamentals":[58],"networks,":[61],"logic,":[63],"integration":[66],"explored,":[68],"inviting":[69],"reader":[71],"delve":[73],"deeper":[74],"these":[76,186],"concepts.":[77],"work":[79],"discusses":[81],"important":[82],"system":[84],"such":[86],"Takagi\u2013Sugeno":[88],"models":[89],"ANFIS,":[91],"highlighting":[92],"significance.":[94],"It":[95],"assesses":[97],"development":[99],"Deep":[101,154],"Neuro-Fuzzy":[102],"Systems":[103],"(DNFSs),":[104],"integrating":[105],"deep":[106,141],"learning":[107],"techniques":[108],"principles":[111],"provide":[113],"workable":[115],"remedy":[116],"for":[117,172,191],"drawbacks":[119],"conventional":[121],"methods.":[122],"Neuro-fuzzy":[123],"systems":[124,224],"can":[125],"automatically":[126],"extract":[127],"hierarchical":[128],"features":[129],"achieve":[131],"end-to-end":[132],"optimization":[133],"membership":[135],"functions,":[136],"rules,":[137],"parameters":[139],"through":[140],"learning,":[142],"demonstrating":[143],"potential.":[145,237],"architecture":[147],"DNFSs":[149,207],"is":[150],"assessed":[151],"using":[152],"either":[153],"Neural":[155,160],"Networks":[156,161],"(DNNs)":[157],"or":[158,214],"Convolutional":[159],"(CNNs),":[162],"showcasing":[163],"versatility.":[165],"Around":[166],"70\u201380":[167],"papers":[168],"were":[169],"initially":[170],"reviewed":[171],"paper,":[174],"indicating":[175],"extensive":[177],"this":[180],"field.":[181],"highlights":[185],"limitations":[187],"further":[192],"study,":[193],"stimulating":[194],"reader\u2019s":[196,233],"interest":[197],"developments.":[200],"Finally,":[201],"authors":[203],"investigate":[204],"applications":[209],"that":[210],"require":[211],"uncertainty":[212],"modeling":[213],"data-driven":[215],"reasoning,":[216],"emphasizing":[217],"real-world":[219],"applications.":[220],"Patterns":[221],"promise":[225],"produce":[227],"brilliant,":[228],"interpretable":[229],"models,":[230],"imagination":[234],"about":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
