{"id":"https://openalex.org/W2887089171","doi":"https://doi.org/10.1109/civemsa.2018.8439971","title":"Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results","display_name":"Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2887089171","doi":"https://doi.org/10.1109/civemsa.2018.8439971","mag":"2887089171"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2018.8439971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2018.8439971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","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/A5084897163","display_name":"Gerardo F\u00e9lix Benjam\u00edn","orcid":"https://orcid.org/0000-0001-5342-8674"},"institutions":[{"id":"https://openalex.org/I3018837529","display_name":"Universidad Central \"Marta Abreu\" de las Villas (UCLV)","ror":"https://ror.org/01cdy6h50","country_code":"CU","type":"education","lineage":["https://openalex.org/I3018837529"]}],"countries":["CU"],"is_corresponding":true,"raw_author_name":"Gerardo Felix","raw_affiliation_strings":["Department of Computer Science, Central University of Las Villas, Cuba"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Central University of Las Villas, Cuba","institution_ids":["https://openalex.org/I3018837529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112381792","display_name":"Gonzalo Npoles","orcid":null},"institutions":[{"id":"https://openalex.org/I878454856","display_name":"Hasselt University","ror":"https://ror.org/04nbhqj75","country_code":"BE","type":"education","lineage":["https://openalex.org/I878454856"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Gonzalo Npoles","raw_affiliation_strings":["Faculty of Business Economics, Hasselt Universiteit, Belgium"],"affiliations":[{"raw_affiliation_string":"Faculty of Business Economics, Hasselt Universiteit, Belgium","institution_ids":["https://openalex.org/I878454856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052669824","display_name":"Rafael Falc\u00f3n","orcid":"https://orcid.org/0000-0002-5906-3626"},"institutions":[{"id":"https://openalex.org/I4210097166","display_name":"Larus Technologies (Canada)","ror":"https://ror.org/00q3rb237","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210097166"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rafael Falcon","raw_affiliation_strings":["Research and Engineering Division, Larus Technologies Corporation, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Research and Engineering Division, Larus Technologies Corporation, Ottawa, Canada","institution_ids":["https://openalex.org/I4210097166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041995562","display_name":"Rafael Bello","orcid":"https://orcid.org/0000-0001-5567-2638"},"institutions":[{"id":"https://openalex.org/I3018837529","display_name":"Universidad Central \"Marta Abreu\" de las Villas (UCLV)","ror":"https://ror.org/01cdy6h50","country_code":"CU","type":"education","lineage":["https://openalex.org/I3018837529"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Rafael Bello","raw_affiliation_strings":["Department of Computer Science, Central University of Las Villas, Cuba"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Central University of Las Villas, Cuba","institution_ids":["https://openalex.org/I3018837529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042634804","display_name":"Koen Vanhoof","orcid":"https://orcid.org/0000-0001-7084-4223"},"institutions":[{"id":"https://openalex.org/I878454856","display_name":"Hasselt University","ror":"https://ror.org/04nbhqj75","country_code":"BE","type":"education","lineage":["https://openalex.org/I878454856"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Koen Vanhoof","raw_affiliation_strings":["Faculty of Business Economics, Hasselt Universiteit, Belgium"],"affiliations":[{"raw_affiliation_string":"Faculty of Business Economics, Hasselt Universiteit, Belgium","institution_ids":["https://openalex.org/I878454856"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084897163"],"corresponding_institution_ids":["https://openalex.org/I3018837529"],"apc_list":null,"apc_paid":null,"fwci":0.6412,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71913476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9930999875068665,"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":0.7485690116882324},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7245053052902222},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.6864217519760132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6702234745025635},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5587958693504333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49576815962791443},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4681316614151001},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.42015042901039124},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.17444738745689392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7485690116882324},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7245053052902222},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.6864217519760132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6702234745025635},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5587958693504333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49576815962791443},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4681316614151001},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.42015042901039124},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.17444738745689392},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/civemsa.2018.8439971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2018.8439971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},{"id":"pmh:oai:documentserver.uhasselt.be:1942/27925","is_oa":false,"landing_page_url":"http://hdl.handle.net/1942/27925","pdf_url":null,"source":{"id":"https://openalex.org/S4306401926","display_name":"Document Server@UHasselt (UHasselt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I878454856","host_organization_name":"Hasselt University","host_organization_lineage":["https://openalex.org/I878454856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Meeting","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W90286923","https://openalex.org/W94523489","https://openalex.org/W168293017","https://openalex.org/W283217679","https://openalex.org/W572368116","https://openalex.org/W1081406902","https://openalex.org/W1499706286","https://openalex.org/W1514205146","https://openalex.org/W1570448133","https://openalex.org/W1581066146","https://openalex.org/W1947957290","https://openalex.org/W2000950277","https://openalex.org/W2009543464","https://openalex.org/W2027654459","https://openalex.org/W2046084401","https://openalex.org/W2051812123","https://openalex.org/W2058755553","https://openalex.org/W2081808304","https://openalex.org/W2085232632","https://openalex.org/W2106100979","https://openalex.org/W2106401878","https://openalex.org/W2132632244","https://openalex.org/W2138798794","https://openalex.org/W2154119246","https://openalex.org/W2163952039","https://openalex.org/W2165315689","https://openalex.org/W2165466912","https://openalex.org/W2182722412","https://openalex.org/W2190869216","https://openalex.org/W2212601978","https://openalex.org/W2254758195","https://openalex.org/W2521451673","https://openalex.org/W2726539084","https://openalex.org/W2748669035","https://openalex.org/W2758232585","https://openalex.org/W3120740533","https://openalex.org/W3141481736","https://openalex.org/W4248880341","https://openalex.org/W4255833381","https://openalex.org/W4293857795","https://openalex.org/W4299125407","https://openalex.org/W6634833660","https://openalex.org/W6743414095"],"related_works":["https://openalex.org/W2350522004","https://openalex.org/W2370755174","https://openalex.org/W2377101006","https://openalex.org/W2187139637","https://openalex.org/W2350247864","https://openalex.org/W2112263672","https://openalex.org/W3013364385","https://openalex.org/W1795409297","https://openalex.org/W4299125407","https://openalex.org/W62703246"],"abstract_inverted_index":{"A":[0],"recent":[1],"trend":[2],"in":[3,26,134],"Machine":[4],"Learning":[5],"is":[6,47],"to":[7,40,53,61,68],"augment":[8],"the":[9,27,74,120,135],"transparency":[10],"of":[11,76,128],"traditional":[12],"classification":[13],"models":[14],"using":[15],"Granular":[16],"Computing":[17],"techniques.":[18],"This":[19],"approach":[20],"has":[21],"been":[22],"found":[23],"particularly":[24],"useful":[25],"neural":[28,34,90,99,132],"networks":[29],"field":[30],"since":[31],"most":[32],"successful":[33],"systems":[35],"often":[36],"require":[37],"complex":[38],"structures":[39],"behave":[41],"like":[42],"universal":[43],"approximators.":[44],"However,":[45],"there":[46],"a":[48,77,109,114,124],"widely-held":[49],"view":[50],"stating":[51],"that,":[52],"build":[54],"an":[55],"interpretable":[56],"classifier,":[57],"one":[58],"might":[59],"have":[60,95],"sacrifice":[62],"some":[63],"prediction":[64,105],"accuracy.":[65],"We":[66],"want":[67],"challenge":[69],"this":[70,98,117],"belief":[71],"by":[72],"exploring":[73],"performance":[75],"recently":[78],"introduced":[79],"granular":[80,111,129],"classifier":[81],"termed":[82],"Fuzzy-Rough":[83],"Cognitive":[84],"Networks":[85],"against":[86],"low-level":[87,131],"(i.e.,":[88],"traditional)":[89],"networks.":[91],"The":[92],"simulation":[93],"results":[94],"shown":[96],"that":[97],"system":[100],"can":[101],"attain":[102],"quite":[103],"competitive":[104],"rates":[106],"while":[107],"featuring":[108],"shallow,":[110],"architecture.":[112],"As":[113],"bigger":[115],"picture,":[116],"study":[118],"paves":[119],"way":[121],"for":[122],"conducting":[123],"more":[125],"thorough":[126],"evaluation":[127],"versus":[130],"classifiers":[133],"near":[136],"future.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}