{"id":"https://openalex.org/W2801396946","doi":"https://doi.org/10.23919/icitst.2017.8356376","title":"Assessment of fuzzy min-max neural networks for classification tasks","display_name":"Assessment of fuzzy min-max neural networks for classification tasks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2801396946","doi":"https://doi.org/10.23919/icitst.2017.8356376","mag":"2801396946"},"language":"en","primary_location":{"id":"doi:10.23919/icitst.2017.8356376","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icitst.2017.8356376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference for Internet Technology and Secured Transactions (ICITST)","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/A5035936146","display_name":"Pasha Sadeghian","orcid":null},"institutions":[{"id":"https://openalex.org/I204593131","display_name":"College of Charleston","ror":"https://ror.org/00390t168","country_code":"US","type":"education","lineage":["https://openalex.org/I204593131"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pasha Sadeghian","raw_affiliation_strings":["Department of Computer Science, College of Charleston, Charleston, SC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Charleston, Charleston, SC, USA","institution_ids":["https://openalex.org/I204593131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037716101","display_name":"Aspen Olmsted","orcid":"https://orcid.org/0000-0003-2652-0154"},"institutions":[{"id":"https://openalex.org/I204593131","display_name":"College of Charleston","ror":"https://ror.org/00390t168","country_code":"US","type":"education","lineage":["https://openalex.org/I204593131"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aspen Olmsted","raw_affiliation_strings":["Department of Computer Science, College of Charleston, Charleston, SC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Charleston, Charleston, SC, USA","institution_ids":["https://openalex.org/I204593131"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035936146"],"corresponding_institution_ids":["https://openalex.org/I204593131"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.226387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9983999729156494,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.707145631313324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6229746341705322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6099403500556946},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.5761598348617554},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5036417841911316},{"id":"https://openalex.org/keywords/binomial-distribution","display_name":"Binomial distribution","score":0.49287915229797363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4837477207183838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47297823429107666},{"id":"https://openalex.org/keywords/statistical-parameter","display_name":"Statistical parameter","score":0.45166683197021484},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44946035742759705},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.4429023861885071},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30930012464523315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24739369750022888}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.707145631313324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6229746341705322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6099403500556946},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.5761598348617554},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5036417841911316},{"id":"https://openalex.org/C41054675","wikidata":"https://www.wikidata.org/wiki/Q185547","display_name":"Binomial distribution","level":2,"score":0.49287915229797363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4837477207183838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47297823429107666},{"id":"https://openalex.org/C166921843","wikidata":"https://www.wikidata.org/wiki/Q3776487","display_name":"Statistical parameter","level":2,"score":0.45166683197021484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44946035742759705},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.4429023861885071},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30930012464523315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24739369750022888}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icitst.2017.8356376","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icitst.2017.8356376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference for Internet Technology and Secured Transactions (ICITST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2038190934","https://openalex.org/W2127436605","https://openalex.org/W2145747704","https://openalex.org/W2146292423","https://openalex.org/W2503135644","https://openalex.org/W2596291665","https://openalex.org/W2702890364","https://openalex.org/W2912565176","https://openalex.org/W3005347330","https://openalex.org/W4211007335","https://openalex.org/W4244494905","https://openalex.org/W4285719527","https://openalex.org/W6773842061"],"related_works":["https://openalex.org/W2966601730","https://openalex.org/W2766339286","https://openalex.org/W3124260028","https://openalex.org/W4297831774","https://openalex.org/W103771011","https://openalex.org/W2350702655","https://openalex.org/W2086139622","https://openalex.org/W2129094899","https://openalex.org/W3094685185","https://openalex.org/W2148333710"],"abstract_inverted_index":{"Statistical":[0],"methods":[1],"have":[2],"been":[3],"used":[4],"in":[5,55],"order":[6],"to":[7,96],"classify":[8],"data":[9,59],"from":[10,60],"random":[11],"samples.":[12],"Generally,":[13],"if":[14],"we":[15,23],"know":[16],"the":[17,21,39,74,84,88,97,115],"statistical":[18,63,85,100,117],"distribution":[19,31,86],"of":[20,41,73,87,99,113],"data,":[22],"can":[24],"utilize":[25],"specific":[26],"classifiers":[27,54],"designed":[28],"for":[29],"that":[30],"and":[32,47,70,78,108],"anticipate":[33],"good":[34],"results.":[35],"This":[36,90],"work":[37],"assesses":[38],"accuracy":[40],"Fuzzy":[42,49],"Min-Max":[43,50],"Neural":[44,51,110],"Network":[45,52],"(FMM)":[46],"Enhanced":[48],"(EFMM)":[53],"classification":[56,98],"tasks":[57],"using":[58],"five":[61],"different":[62,80],"distributions:":[64],"Negative":[65],"Binomial,":[66],"Logistic,":[67],"Log-Normal,":[68],"Gamma,":[69],"Weibull.":[71],"Results":[72],"assessment":[75],"are":[76],"provided":[77],"show":[79],"accuracies":[81],"based":[82],"on":[83],"data.":[89],"study":[91],"presents":[92],"a":[93],"novel":[94],"approach":[95],"distributions":[101],"by":[102],"presenting":[103],"two":[104],"classifiers,":[105],"namely":[106],"FMM":[107],"EFMM":[109],"Networks,":[111],"capable":[112],"classifying":[114],"above":[116],"distributions.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}