{"id":"https://openalex.org/W2398844004","doi":null,"title":"Extending FSNPC to handle data points with fuzzy class assignments.","display_name":"Extending FSNPC to handle data points with fuzzy class assignments.","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2398844004","mag":"2398844004"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.226.6991","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.226.6991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2010-123.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5027950377","display_name":"Tina Geweniger","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tina Geweniger","raw_affiliation_strings":["Leipzig University, Leipzig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027248793","display_name":"Thomas Villmann","orcid":"https://orcid.org/0000-0001-6725-0141","observed_orcids":["https://orcid.org/0000-0001-6725-0141"]},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Villmann","raw_affiliation_strings":["Leipzig University, Leipzig, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6725-0141","affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.32691346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.3215000033378601,"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":0.3215000033378601,"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":0.20520000159740448,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.10440000146627426,"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/fuzzy-prototypes","display_name":"fuzzy prototypes","score":0.734000027179718},{"id":"https://openalex.org/keywords/cost-function","display_name":"cost function","score":0.7039999961853027}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6521881818771362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109517812728882},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5814850330352783},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5758612751960754},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5519933104515076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5214506983757019},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5102903842926025},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4411258399486542},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.4222782552242279},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3919949233531952},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.226.6991","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.226.6991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2010-123.pdf","raw_type":"text"},{"id":"mag:2398844004","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/esann/esann2010.html#GewenigerV10","pdf_url":null,"source":{"id":"https://openalex.org/S4306421047","display_name":"The European Symposium on Artificial Neural Networks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"The European Symposium on Artificial Neural Networks","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W101941674","https://openalex.org/W1567755388","https://openalex.org/W2035234215","https://openalex.org/W2084562574","https://openalex.org/W2109993655","https://openalex.org/W2123749980","https://openalex.org/W2124039671","https://openalex.org/W2499450561"],"related_works":["https://openalex.org/W80448865","https://openalex.org/W4401588036","https://openalex.org/W1526243883","https://openalex.org/W2907925421","https://openalex.org/W2038590825","https://openalex.org/W2262107419","https://openalex.org/W2183699034","https://openalex.org/W7203827966","https://openalex.org/W1965928139","https://openalex.org/W2902039169"],"abstract_inverted_index":{"Abstract.":[0],"In":[1],"this":[2],"paper":[3],"we":[4,20],"present":[5],"an":[6],"advanced":[7],"Nearest":[8,24],"Prototype":[9,25],"Classification":[10,26],"to":[11],"handle":[12],"data":[13,68],"points":[14],"with":[15,38,79],"unsharp":[16],"class":[17],"assignments.":[18],"Therefore":[19],"extend":[21],"the":[22,50,59,63,76,80],"Soft":[23,86],"as":[27,42],"proposed":[28],"by":[29,44,83,88],"Seo":[30],"et":[31,46],"al.":[32,47],"and":[33,53,70,74],"its":[34],"further":[35],"enhancement":[36],"working":[37],"fuzzy":[39],"labeled":[40],"prototypes":[41],"introduced":[43],"Villmann":[45],"We":[48,61],"adapt":[49],"cost":[51],"function":[52],"derive":[54],"appropriate":[55],"update":[56],"rules":[57],"for":[58],"prototypes.":[60],"assess":[62],"performance":[64],"on":[65],"a":[66,71],"toy":[67],"set":[69],"real-world":[72],"problem":[73],"compare":[75],"classification":[77],"result":[78],"results":[81],"obtained":[82],"Fuzzy":[84,91],"Robust":[85],"LVQ":[87],"means":[89],"of":[90],"Cohen\u2019s":[92],"Kappa.":[93],"1":[94]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2016-06-24T00:00:00"}