{"id":"https://openalex.org/W2002696855","doi":"https://doi.org/10.1080/10798587.1998.10750723","title":"Rule Specialization in Networks of Fuzzy Basis Functions","display_name":"Rule Specialization in Networks of Fuzzy Basis Functions","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W2002696855","doi":"https://doi.org/10.1080/10798587.1998.10750723","mag":"2002696855"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.1998.10750723","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.1998.10750723","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","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/A5061681919","display_name":"F. Casalino","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163092","display_name":"Istituto Nazionale per la Fisica della Materia","ror":"https://ror.org/02kswma64","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210163092"]},{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. Casalino","raw_affiliation_strings":[") Istituto Nazionale per la Fisica della Materia and","Dipartimento di Fisica -Universit\u00e0 di Genova Via Dodecaneso 33, 16146 Genova, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") Istituto Nazionale per la Fisica della Materia and","institution_ids":["https://openalex.org/I4210163092"]},{"raw_affiliation_string":"Dipartimento di Fisica -Universit\u00e0 di Genova Via Dodecaneso 33, 16146 Genova, ITALY","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078310289","display_name":"Francesco Masulli","orcid":"https://orcid.org/0000-0002-6612-0932"},"institutions":[{"id":"https://openalex.org/I4210163092","display_name":"Istituto Nazionale per la Fisica della Materia","ror":"https://ror.org/02kswma64","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210163092"]},{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. Masulli","raw_affiliation_strings":[") Istituto Nazionale per la Fisica della Materia and","Dipartimento di Fisica -Universit\u00e0 di Genova Via Dodecaneso 33, 16146 Genova, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") Istituto Nazionale per la Fisica della Materia and","institution_ids":["https://openalex.org/I4210163092"]},{"raw_affiliation_string":"Dipartimento di Fisica -Universit\u00e0 di Genova Via Dodecaneso 33, 16146 Genova, ITALY","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064873591","display_name":"Alessandro Sperduti","orcid":"https://orcid.org/0000-0002-8686-850X"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Sperduti","raw_affiliation_strings":["University of Pisa,#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa,#TAB#","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5405,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76054302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":"1","first_page":"73","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998999834060669,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998999834060669,"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/T10320","display_name":"Neural Networks and Applications","score":0.9994999766349792,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.979200005531311,"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":0.8178478479385376},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6649996042251587},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5790257453918457},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5595255494117737},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5166635513305664},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5008330345153809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47873780131340027},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41740158200263977},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.4168283939361572},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.26142799854278564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1364617645740509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8178478479385376},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6649996042251587},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5790257453918457},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5595255494117737},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5166635513305664},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5008330345153809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47873780131340027},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41740158200263977},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.4168283939361572},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.26142799854278564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1364617645740509},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/10798587.1998.10750723","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.1998.10750723","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.19.524","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.disi.unige.it/person/MasulliF/papers/masulli-iasc98.pdf","raw_type":"text"},{"id":"pmh:oai:www.research.unipd.it:11577/119229","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/119229","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W82072587","https://openalex.org/W787391600","https://openalex.org/W1655554306","https://openalex.org/W2001376486","https://openalex.org/W2002041997","https://openalex.org/W2019207321","https://openalex.org/W2062706881","https://openalex.org/W2070499619","https://openalex.org/W2086472796","https://openalex.org/W2097415784","https://openalex.org/W2101036899","https://openalex.org/W2102693176","https://openalex.org/W2103269436","https://openalex.org/W2103496339","https://openalex.org/W2109020439","https://openalex.org/W2118154362","https://openalex.org/W2127219783","https://openalex.org/W2141278204","https://openalex.org/W2153778674","https://openalex.org/W2155766006","https://openalex.org/W2164001754","https://openalex.org/W2259289169","https://openalex.org/W2766736793","https://openalex.org/W2772429140","https://openalex.org/W4210602482","https://openalex.org/W6603403065","https://openalex.org/W6674801067","https://openalex.org/W6675499909"],"related_works":["https://openalex.org/W1503216044","https://openalex.org/W2393609567","https://openalex.org/W2369369044","https://openalex.org/W2354143083","https://openalex.org/W2372906645","https://openalex.org/W4319998713","https://openalex.org/W2366269494","https://openalex.org/W2353650902","https://openalex.org/W2347884623","https://openalex.org/W2361201432"],"abstract_inverted_index":{"The":[0],"structure":[1],"identification":[2],"of":[3,11,50,58,78,86,94],"adaptive":[4],"fuzzy":[5,96],"logic":[6],"systems,":[7],"realized":[8],"as":[9],"networks":[10],"Fuzzy":[12],"Basis":[13],"Functions":[14],"(FBF's)":[15],"and":[16],"trained":[17],"on":[18],"numerical":[19],"data,":[20],"is":[21,40,52,69,82],"studied":[22],"for":[23],"a":[24,63,87,91],"handwritten":[25],"character":[26],"recognition":[27],"problem.":[28],"An":[29],"FBF":[30,80],"network":[31,81],"with":[32],"fewer":[33],"rules":[34,51],"than":[35],"classes":[36,59],"to":[37,42,55,60,84],"be":[38,61],"discriminated":[39],"unable":[41],"recognize":[43],"some":[44],"classes,":[45],"while,":[46],"when":[47],"the":[48,56,67,76,79,95],"number":[49,57],"increased":[53],"up":[54],"discriminated,":[62],"sharp":[64],"increase":[65],"in":[66],"performance":[68],"observed.":[70],"Experimental":[71],"results":[72],"point":[73],"out":[74],"that":[75,85],"behavior":[77],"closer":[83],"competitive":[88],"model":[89],"showing":[90],"strong":[92],"specialization":[93],"rules.":[97]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
