{"id":"https://openalex.org/W4396652121","doi":"https://doi.org/10.1007/s10586-024-04475-7","title":"Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization","display_name":"Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization","publication_year":2024,"publication_date":"2024-05-05","ids":{"openalex":"https://openalex.org/W4396652121","doi":"https://doi.org/10.1007/s10586-024-04475-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-024-04475-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-024-04475-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10586-024-04475-7.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10586-024-04475-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092202998","display_name":"Nastaran Mehrabi Hashjin","orcid":"https://orcid.org/0009-0001-9310-9229"},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Nastaran Mehrabi Hashjin","raw_affiliation_strings":["Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018616829","display_name":"Mohammad Hussein Amiri","orcid":"https://orcid.org/0000-0002-7795-5732"},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Hussein Amiri","raw_affiliation_strings":["Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089657515","display_name":"Ardashir Mohammadzadeh","orcid":"https://orcid.org/0000-0001-5173-4563"},"institutions":[{"id":"https://openalex.org/I4210141757","display_name":"Astana Medical University","ror":"https://ror.org/038mavt60","country_code":"KZ","type":"education","lineage":["https://openalex.org/I4210141757"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Ardashir Mohammadzadeh","raw_affiliation_strings":["Department of Computational and Data Science, Astana IT University, Astana, Kazakhstan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational and Data Science, Astana IT University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I4210141757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111318968","display_name":"Seyedali Mirjalili","orcid":null},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]},{"id":"https://openalex.org/I4210142395","display_name":"Torrens University Australia","ror":"https://ror.org/0351xae06","country_code":"AU","type":"education","lineage":["https://openalex.org/I4210142395"]}],"countries":["AU","HU"],"is_corresponding":false,"raw_author_name":"Seyedali Mirjalili","raw_affiliation_strings":["Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Brisbane, Australia","University Research and Innovation Center (EKIK), Ubuda University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Brisbane, Australia","institution_ids":["https://openalex.org/I4210142395"]},{"raw_affiliation_string":"University Research and Innovation Center (EKIK), Ubuda University, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042196931","display_name":"Nima Khodadadi","orcid":"https://orcid.org/0000-0002-8348-6530"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nima Khodadadi","raw_affiliation_strings":["Department of Civil and Architectural Engineering, University of Miami, Coral Gables, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Architectural Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042196931"],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2790},"fwci":18.146,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.99621898,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"27","issue":"7","first_page":"10197","last_page":"10234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9944999814033508,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.8327136039733887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6964640021324158},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6308026313781738},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5456744432449341},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.502338171005249},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4749731421470642},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47186607122421265},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4535948634147644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8327136039733887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6964640021324158},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6308026313781738},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5456744432449341},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.502338171005249},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4749731421470642},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47186607122421265},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4535948634147644}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-024-04475-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-024-04475-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10586-024-04475-7.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10586-024-04475-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-024-04475-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10586-024-04475-7.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396652121.pdf"},"referenced_works_count":98,"referenced_works":["https://openalex.org/W28576920","https://openalex.org/W1542951322","https://openalex.org/W2028880308","https://openalex.org/W2127982691","https://openalex.org/W2147708960","https://openalex.org/W2162706466","https://openalex.org/W2164879989","https://openalex.org/W2569095078","https://openalex.org/W2571682498","https://openalex.org/W2606276573","https://openalex.org/W2750384547","https://openalex.org/W2792712350","https://openalex.org/W2885141472","https://openalex.org/W2915330174","https://openalex.org/W2955610481","https://openalex.org/W2956903776","https://openalex.org/W2959624881","https://openalex.org/W2996806689","https://openalex.org/W3006334803","https://openalex.org/W3022023599","https://openalex.org/W3036361249","https://openalex.org/W3071064244","https://openalex.org/W3081627837","https://openalex.org/W3086984564","https://openalex.org/W3090762552","https://openalex.org/W3095017951","https://openalex.org/W3097566283","https://openalex.org/W3111514217","https://openalex.org/W3111533025","https://openalex.org/W3112193599","https://openalex.org/W3133491520","https://openalex.org/W3134311463","https://openalex.org/W3137539372","https://openalex.org/W3147879240","https://openalex.org/W3157056612","https://openalex.org/W3164509420","https://openalex.org/W3167041328","https://openalex.org/W3170749742","https://openalex.org/W3176943954","https://openalex.org/W3186928351","https://openalex.org/W3191609922","https://openalex.org/W3193830270","https://openalex.org/W3195121218","https://openalex.org/W3196654201","https://openalex.org/W3212721454","https://openalex.org/W3213386954","https://openalex.org/W3215786562","https://openalex.org/W3216240934","https://openalex.org/W4206718313","https://openalex.org/W4210490210","https://openalex.org/W4210935918","https://openalex.org/W4211081165","https://openalex.org/W4211249255","https://openalex.org/W4220855160","https://openalex.org/W4225691155","https://openalex.org/W4245152641","https://openalex.org/W4281550045","https://openalex.org/W4283580006","https://openalex.org/W4283765109","https://openalex.org/W4284881142","https://openalex.org/W4284977237","https://openalex.org/W4285083769","https://openalex.org/W4285281117","https://openalex.org/W4292256086","https://openalex.org/W4292820477","https://openalex.org/W4294584485","https://openalex.org/W4294838850","https://openalex.org/W4295007490","https://openalex.org/W4297394777","https://openalex.org/W4297755956","https://openalex.org/W4309569390","https://openalex.org/W4311782122","https://openalex.org/W4312211295","https://openalex.org/W4313312917","https://openalex.org/W4313325109","https://openalex.org/W4313545244","https://openalex.org/W4316035260","https://openalex.org/W4317564916","https://openalex.org/W4321438902","https://openalex.org/W4321481948","https://openalex.org/W4323842737","https://openalex.org/W4327939549","https://openalex.org/W4362720253","https://openalex.org/W4362735910","https://openalex.org/W4366085698","https://openalex.org/W4367043522","https://openalex.org/W4367672178","https://openalex.org/W4377289540","https://openalex.org/W4377969178","https://openalex.org/W4379741860","https://openalex.org/W4381736097","https://openalex.org/W4382584654","https://openalex.org/W4382934512","https://openalex.org/W4383376739","https://openalex.org/W4383376839","https://openalex.org/W4383901217","https://openalex.org/W4385978868","https://openalex.org/W4387195490"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2734358244","https://openalex.org/W4388700941"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"presents":[3],"a":[4,14],"unique":[5],"hybrid":[6],"classifier":[7,139,189],"that":[8,186,212],"combines":[9],"deep":[10],"neural":[11,26,68,158],"networks":[12,150],"with":[13,92,121],"type-III":[15,58],"fuzzy":[16,59],"system":[17,60],"for":[18,35,42,50,133,231],"decision-making.":[19],"The":[20,52,70,84,106,137,183,228],"ensemble":[21],"incorporates":[22],"ResNet-18,":[23,153],"Efficient":[24,156],"Capsule":[25,157],"network,":[27],"ResNet-50,":[28],"the":[29,57,63,66,77,97,126,169,175,187,205,213,223],"Histogram":[30],"of":[31,65],"Oriented":[32],"Gradients":[33],"(HOG)":[34],"feature":[36,43],"extraction,":[37],"neighborhood":[38],"component":[39],"analysis":[40],"(NCA)":[41],"selection,":[44],"and":[45,103,114,146,155,177,196,215,226],"Support":[46],"Vector":[47],"Machine":[48],"(SVM)":[49],"classification.":[51],"innovative":[53],"inputs":[54],"fed":[55],"into":[56],"come":[61],"from":[62],"outputs":[64],"mentioned":[67],"networks.":[69],"system\u2019s":[71],"rule":[72],"parameters":[73],"are":[74],"fine-tuned":[75],"using":[76,110],"Improved":[78],"Chaos":[79],"Game":[80],"Optimization":[81],"algorithm":[82,99],"(ICGO).":[83],"conventional":[85],"CGO\u2019s":[86],"simple":[87],"random":[88],"mutation":[89,94],"is":[90,140,172,233],"substituted":[91],"wavelet":[93],"to":[95,142,199,222],"enhance":[96],"CGO":[98],"while":[100],"preserving":[101],"non-parametricity":[102],"computational":[104],"complexity.":[105],"ICGO":[107,214,232],"was":[108],"evaluated":[109],"126":[111],"benchmark":[112,135],"functions":[113,131],"5":[115],"engineering":[116],"problems,":[117],"comparing":[118],"its":[119],"performance":[120,171],"well-known":[122],"algorithms.":[123],"It":[124],"achieved":[125],"best":[127],"results":[128,184],"across":[129],"all":[130],"except":[132],"2":[134],"functions.":[136],"introduced":[138],"applied":[141],"seven":[143],"malware":[144],"datasets":[145],"consistently":[147],"outperforms":[148],"notable":[149],"like":[151],"AlexNet,":[152],"GoogleNet,":[154],"network":[159],"in":[160,179,191],"35":[161],"separate":[162,181],"runs,":[163],"achieving":[164],"over":[165],"96%":[166],"accuracy.":[167],"Additionally,":[168],"classifier\u2019s":[170],"tested":[173],"on":[174,204],"MNIST":[176],"Fashion-MNIST":[178],"10":[180],"runs.":[182],"show":[185],"new":[188],"excels":[190],"accuracy,":[192],"precision,":[193],"sensitivity,":[194],"specificity,":[195],"F1-score":[197],"compared":[198,221],"other":[200],"recent":[201],"classifiers.":[202],"Based":[203],"statistical":[206],"analysis,":[207],"it":[208],"has":[209],"been":[210],"concluded":[211],"propose":[216],"method":[217],"exhibit":[218],"significant":[219],"superiority":[220],"examined":[224],"algorithms":[225],"methods.":[227],"source":[229],"code":[230],"available":[234],"publicly":[235],"at":[236],"https://nimakhodadadi.com/algorithms-%2B-codes":[237],".":[238],"Graphical":[239],"abstract":[240]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":12}],"updated_date":"2026-06-30T13:55:48.251075","created_date":"2025-10-10T00:00:00"}
