{"id":"https://openalex.org/W1652242680","doi":"https://doi.org/10.3233/ifs-2012-0607","title":"A multivariate fuzzy system applied for outliers detection","display_name":"A multivariate fuzzy system applied for outliers detection","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1652242680","doi":"https://doi.org/10.3233/ifs-2012-0607","mag":"1652242680"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-2012-0607","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-2012-0607","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5024534618","display_name":"Silvia Cateni","orcid":"https://orcid.org/0000-0002-5103-3481"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Cateni","raw_affiliation_strings":["PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy","PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy#TAB#","institution_ids":["https://openalex.org/I162290304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033400760","display_name":"Valentina Colla","orcid":"https://orcid.org/0000-0002-9574-0575"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valentina Colla","raw_affiliation_strings":["PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy","PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy#TAB#","institution_ids":["https://openalex.org/I162290304"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086600157","display_name":"Gianluca Nastasi","orcid":null},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluca Nastasi","raw_affiliation_strings":["PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy","PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"PERCRO Laboratory, Scuola Superiore S. Anna, Pisa Italy#TAB#","institution_ids":["https://openalex.org/I162290304"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9413,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.94762561,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"4","first_page":"889","last_page":"903"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9957000017166138,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7376842498779297},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5799076557159424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5598785877227783},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4628654420375824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4459003806114197},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.4146282374858856},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40843021869659424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36937329173088074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2700378894805908},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22535720467567444}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7376842498779297},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5799076557159424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598785877227783},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4628654420375824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4459003806114197},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.4146282374858856},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40843021869659424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36937329173088074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2700378894805908},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22535720467567444}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/ifs-2012-0607","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-2012-0607","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:www.iris.sssup.it:11382/365429","is_oa":false,"landing_page_url":"http://hdl.handle.net/11382/365429","pdf_url":null,"source":{"id":"https://openalex.org/S4377196376","display_name":"CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162290304","host_organization_name":"Scuola Superiore Sant'Anna","host_organization_lineage":["https://openalex.org/I162290304"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.550000011920929,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W332214200","https://openalex.org/W1540596182","https://openalex.org/W1545414414","https://openalex.org/W1552339598","https://openalex.org/W1566114229","https://openalex.org/W1566480186","https://openalex.org/W1575476631","https://openalex.org/W1673310716","https://openalex.org/W1970655212","https://openalex.org/W1977496278","https://openalex.org/W1978239142","https://openalex.org/W1982418571","https://openalex.org/W1984339680","https://openalex.org/W1984483426","https://openalex.org/W1987149779","https://openalex.org/W1990368529","https://openalex.org/W1992176519","https://openalex.org/W2001459399","https://openalex.org/W2009523971","https://openalex.org/W2026413914","https://openalex.org/W2026470292","https://openalex.org/W2027859047","https://openalex.org/W2031030653","https://openalex.org/W2035006576","https://openalex.org/W2042012632","https://openalex.org/W2049058890","https://openalex.org/W2053075120","https://openalex.org/W2065811242","https://openalex.org/W2095897464","https://openalex.org/W2098447225","https://openalex.org/W2110784166","https://openalex.org/W2113076747","https://openalex.org/W2117672932","https://openalex.org/W2121028596","https://openalex.org/W2124536999","https://openalex.org/W2129249398","https://openalex.org/W2129281431","https://openalex.org/W2137130182","https://openalex.org/W2140190241","https://openalex.org/W2144182447","https://openalex.org/W2148610006","https://openalex.org/W2148685209","https://openalex.org/W2149527700","https://openalex.org/W2160314512","https://openalex.org/W2160642098","https://openalex.org/W2170314592","https://openalex.org/W2326594891","https://openalex.org/W2328056838","https://openalex.org/W2331052961","https://openalex.org/W2554928058","https://openalex.org/W2573574426","https://openalex.org/W3140388238","https://openalex.org/W4234967753","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2000145235","https://openalex.org/W3178381772","https://openalex.org/W3034054763","https://openalex.org/W3123646102","https://openalex.org/W2025622796","https://openalex.org/W2905629930","https://openalex.org/W2911841387","https://openalex.org/W2096562133","https://openalex.org/W2119420496","https://openalex.org/W2362516182"],"abstract_inverted_index":{"The":[0,14,98,156],"paper":[1],"presents":[2],"an":[3],"application":[4],"of":[5,11,17,32,71,86,94,106,118],"fuzzy":[6,49],"logic":[7],"to":[8,21,57,103,114,146],"the":[9,18,53,69,72,80,84,95,104,107,116,119,143],"problem":[10],"outliers":[12,37,109],"detection.":[13],"overall":[15],"purpose":[16],"work":[19],"is":[20,45],"point":[22],"out":[23],"anomalous":[24],"data":[25,144],"due":[26],"different":[27,73],"causes":[28],"through":[29,47],"a":[30,48,92,129,134,138],"combination":[31,44,70],"several":[33],"traditional":[34],"methods":[35],"for":[36,68,152],"detection":[38,110],"in":[39],"multivariate":[40],"datasets":[41],"and":[42,60,133,162],"such":[43],"achieved":[46,157],"inference":[50],"system.":[51],"Moreover,":[52],"proposed":[54,99],"solutions":[55],"aims":[56],"be":[58,147],"automatic":[59],"self-adaptive,":[61],"as":[62],"some":[63],"parameters":[64],"which":[65],"are":[66,75,160],"required":[67],"approaches":[74],"automatically":[76],"evaluated":[77],"by":[78],"exploiting":[79],"available":[81,96],"data,":[82],"without":[83],"need":[85],"a-priori":[87],"assumptions":[88],"or":[89],"information":[90],"on":[91,127],"subset":[93],"data.":[97],"method":[100],"therefore":[101],"belongs":[102],"class":[105],"unsupervised":[108],"methods.":[111],"In":[112],"order":[113],"demonstrate":[115],"effectiveness":[117],"developed":[120],"method,":[121],"extensive":[122],"tests":[123],"have":[124,145],"been":[125],"performed":[126],"both":[128],"simple":[130],"case":[131],"study":[132],"database":[135],"coming":[136],"from":[137],"real":[139],"industrial":[140],"context,":[141],"where":[142],"filtered":[148],"before":[149],"their":[150],"exploitation":[151],"process":[153],"control":[154],"purposes.":[155],"numerical":[158],"results":[159],"presented":[161],"discussed.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
