{"id":"https://openalex.org/W1999494049","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6250817","title":"Feature selection using Yu's similarity measure and fuzzy entropy measures","display_name":"Feature selection using Yu's similarity measure and fuzzy entropy measures","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1999494049","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6250817","mag":"1999494049"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2012.6250817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6250817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","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/A5035996182","display_name":"Iyakaremye Cesar","orcid":null},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Cesar Iyakaremye","raw_affiliation_strings":["Laboratory of Applied Mathematics, Lappeenranta University of Technology, Lappeeranta, Finland","Laboratory of Applied Mathematics, Lappeenranta University of Technology, Finland"],"affiliations":[{"raw_affiliation_string":"Laboratory of Applied Mathematics, Lappeenranta University of Technology, Lappeeranta, Finland","institution_ids":["https://openalex.org/I63548447"]},{"raw_affiliation_string":"Laboratory of Applied Mathematics, Lappeenranta University of Technology, Finland","institution_ids":["https://openalex.org/I63548447"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069244594","display_name":"Pasi Luukka","orcid":"https://orcid.org/0000-0003-0124-6646"},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Pasi Luukka","raw_affiliation_strings":["Laboratory of Applied Mathematics, Lappeenranta University of Technology, Lappeeranta, Finland","Laboratory of Applied Mathematics, Lappeenranta University of Technology, Finland"],"affiliations":[{"raw_affiliation_string":"Laboratory of Applied Mathematics, Lappeenranta University of Technology, Lappeeranta, Finland","institution_ids":["https://openalex.org/I63548447"]},{"raw_affiliation_string":"Laboratory of Applied Mathematics, Lappeenranta University of Technology, Finland","institution_ids":["https://openalex.org/I63548447"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086876425","display_name":"David Koloseni","orcid":null},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"David Koloseni","raw_affiliation_strings":["Laboratory of Applied Mathematics, Lappeenranta University of Technology, Lappeeranta, Finland","Laboratory of Applied Mathematics, Lappeenranta University of Technology, Finland"],"affiliations":[{"raw_affiliation_string":"Laboratory of Applied Mathematics, Lappeenranta University of Technology, Lappeeranta, Finland","institution_ids":["https://openalex.org/I63548447"]},{"raw_affiliation_string":"Laboratory of Applied Mathematics, Lappeenranta University of Technology, Finland","institution_ids":["https://openalex.org/I63548447"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035996182"],"corresponding_institution_ids":["https://openalex.org/I63548447"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78840268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"35","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.98089998960495,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/feature-selection","display_name":"Feature selection","score":0.7764889001846313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6809651851654053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6682485938072205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6019994020462036},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5899244546890259},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5804595947265625},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4986095428466797},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49694302678108215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4446552097797394},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4399334490299225},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4275369942188263},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41645893454551697},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.40361806750297546}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7764889001846313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6809651851654053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682485938072205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6019994020462036},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5899244546890259},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5804595947265625},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4986095428466797},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49694302678108215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4446552097797394},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4399334490299225},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4275369942188263},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41645893454551697},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.40361806750297546},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2012.6250817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6250817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","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":25,"referenced_works":["https://openalex.org/W116877356","https://openalex.org/W1559923427","https://openalex.org/W1967689665","https://openalex.org/W1995875735","https://openalex.org/W1999494049","https://openalex.org/W2017337590","https://openalex.org/W2019529630","https://openalex.org/W2023304033","https://openalex.org/W2040121225","https://openalex.org/W2040884411","https://openalex.org/W2043691693","https://openalex.org/W2071943740","https://openalex.org/W2075526913","https://openalex.org/W2084134149","https://openalex.org/W2098844365","https://openalex.org/W2130026332","https://openalex.org/W2132731342","https://openalex.org/W2136207315","https://openalex.org/W2156260858","https://openalex.org/W2157486511","https://openalex.org/W2171389954","https://openalex.org/W3112020351","https://openalex.org/W3150896936","https://openalex.org/W4211007335","https://openalex.org/W4249567730"],"related_works":["https://openalex.org/W2380784125","https://openalex.org/W3004057759","https://openalex.org/W2889085215","https://openalex.org/W2914806737","https://openalex.org/W2998216295","https://openalex.org/W4308273529","https://openalex.org/W2112090263","https://openalex.org/W2315413568","https://openalex.org/W2367848132","https://openalex.org/W2106711308"],"abstract_inverted_index":{"In":[0,61,98],"classification":[1,96,145],"problems":[2],"feature":[3,101],"selection":[4,86,102],"has":[5],"an":[6,79],"important":[7,80],"role":[8],"for":[9,27],"several":[10],"reasons.":[11],"It":[12],"can":[13,66,88,166],"reduce":[14,90],"computational":[15],"cost":[16],"by":[17],"simplifying":[18],"the":[19,23,50,54,64,74,95,122,134,139],"model.":[20],"Also":[21],"when":[22],"model":[24,55,65],"is":[25,78,114,118],"taken":[26],"practical":[28],"use":[29],"fewer":[30,39],"inputs":[31],"are":[32,44],"needed":[33],"which":[34,77],"means":[35],"in":[36,82],"practice,":[37],"that":[38],"measurements":[40],"from":[41,49],"new":[42],"samples":[43],"needed.":[45],"Removing":[46],"insignificant":[47],"features":[48,159],"data":[51,130,149],"set":[52,150],"makes":[53],"more":[56,59],"transparent":[57],"and":[58,116,153],"comprehensible.":[60],"this":[62,92,99],"way":[63,93],"be":[67,167],"used":[68],"to":[69,73,136],"provide":[70],"better":[71],"explanation":[72],"medical":[75,83],"diagnosis,":[76],"requirement":[81],"applications.":[84],"Feature":[85],"process":[87],"also":[89],"noise,":[91],"enhancing":[94],"accuracy.":[97],"article":[100],"method":[103],"based":[104],"similarity":[105,109,123],"measure":[106],"using":[107,157],"Yu's":[108],"with":[110,121,128,147],"fuzzy":[111],"entropy":[112],"measures":[113],"introduced":[115],"it":[117,154],"tested":[119,127],"together":[120],"classifier.":[124],"Model":[125],"was":[126,151,155],"dermatology":[129,148],"set.":[131],"When":[132],"comparing":[133],"results":[135,140],"previous":[137],"works":[138],"compare":[141],"quite":[142,169],"well.":[143],"Mean":[144],"accuracy":[146],"98.83%":[152],"achieved":[156],"33":[158],"instead":[160],"of":[161],"34":[162],"original":[163],"features.":[164],"Results":[165],"considered":[168],"good.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}