{"id":"https://openalex.org/W4384524491","doi":"https://doi.org/10.1007/s40747-023-01138-9","title":"Feature gene selection based on fuzzy neighborhood joint entropy","display_name":"Feature gene selection based on fuzzy neighborhood joint entropy","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4384524491","doi":"https://doi.org/10.1007/s40747-023-01138-9"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01138-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01138-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01138-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01138-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100322845","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-9462-3983"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Wang","raw_affiliation_strings":["School of Computer Science, Guangzhou University, Guangzhou, 510008, China"],"raw_orcid":"https://orcid.org/0000-0002-9462-3983","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangzhou University, Guangzhou, 510008, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102208608","display_name":"Minjie Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minjie Sun","raw_affiliation_strings":["School of Computer Science, Guangzhou University, Guangzhou, 510008, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangzhou University, Guangzhou, 510008, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103256437","display_name":"Linbo Long","orcid":"https://orcid.org/0000-0003-1966-0714"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linbo Long","raw_affiliation_strings":["College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766361","display_name":"Jinhui Liu","orcid":"https://orcid.org/0000-0001-9604-9543"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061082212","display_name":"Yifan Ren","orcid":"https://orcid.org/0000-0001-6518-6828"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Ren","raw_affiliation_strings":["School of Computer Science, Guangzhou University, Guangzhou, 510008, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangzhou University, Guangzhou, 510008, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100322845"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.9699,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79026155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":"1","first_page":"129","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.934499979019165,"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/feature-selection","display_name":"Feature selection","score":0.7151081562042236},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6085756421089172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5860694646835327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5803715586662292},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5731322765350342},{"id":"https://openalex.org/keywords/joint-entropy","display_name":"Joint entropy","score":0.5329371690750122},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5204929709434509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5051215291023254},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4985830783843994},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4814150035381317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32873648405075073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32782191038131714},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.23004665970802307}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7151081562042236},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6085756421089172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5860694646835327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803715586662292},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5731322765350342},{"id":"https://openalex.org/C106752470","wikidata":"https://www.wikidata.org/wiki/Q1364826","display_name":"Joint entropy","level":3,"score":0.5329371690750122},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5204929709434509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5051215291023254},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4985830783843994},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4814150035381317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32873648405075073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32782191038131714},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.23004665970802307},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":2,"locations":[{"id":"doi:10.1007/s40747-023-01138-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01138-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01138-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6f2a540031f64ee9a8935d241732c9ea","is_oa":true,"landing_page_url":"https://doaj.org/article/6f2a540031f64ee9a8935d241732c9ea","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 1, Pp 129-144 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01138-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01138-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01138-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384524491.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2027654459","https://openalex.org/W2030363461","https://openalex.org/W2055307975","https://openalex.org/W2063564733","https://openalex.org/W2158633287","https://openalex.org/W2292553612","https://openalex.org/W2416404380","https://openalex.org/W2588460665","https://openalex.org/W2620020068","https://openalex.org/W2766809129","https://openalex.org/W2772082296","https://openalex.org/W2897000381","https://openalex.org/W2901788280","https://openalex.org/W2904548605","https://openalex.org/W2910351322","https://openalex.org/W2980604334","https://openalex.org/W2994713090","https://openalex.org/W3007186749","https://openalex.org/W3011104238","https://openalex.org/W3020067472","https://openalex.org/W3034363875","https://openalex.org/W3094917801","https://openalex.org/W3111700522","https://openalex.org/W3170308824","https://openalex.org/W4206095984","https://openalex.org/W4220788352","https://openalex.org/W4248578308","https://openalex.org/W4280551134","https://openalex.org/W4283071010","https://openalex.org/W4283811976"],"related_works":["https://openalex.org/W4308273529","https://openalex.org/W2036846997","https://openalex.org/W2090882960","https://openalex.org/W2029679244","https://openalex.org/W3012976800","https://openalex.org/W2018879631","https://openalex.org/W2911322731","https://openalex.org/W2071645312","https://openalex.org/W2121486660","https://openalex.org/W3149233489"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2,66,107],"addresses":[3],"the":[4,50,62,81,91,100,115,123,135,150,159,168,174,177,187,190,195,203,219,234,243,302],"feature":[5,76,96,111,155,164,225],"selection":[6,13,113],"problem":[7],"for":[8],"gene":[9,24,34,112,206],"expression":[10,25,35],"profiles.":[11,26],"Feature":[12],"based":[14,74,201],"on":[15,75,99,202],"fuzzy":[16,69,85,101,116,126,130,144],"neighborhood":[17,70,86,102,117,127,145],"rough":[18],"sets":[19],"is":[20,156],"very":[21],"important":[22],"in":[23,33,182],"The":[27,214],"process":[28],"of":[29,84,93,138,153,162,170,179,189,212,287],"extracting":[30],"key":[31],"features":[32,181,184,192],"profiles":[36],"may":[37,43,56],"have":[38],"two":[39],"disadvantages:":[40],"(1)":[41],"it":[42,55],"generate":[44],"many":[45],"redundant":[46],"features,":[47],"thus":[48],"reducing":[49],"classification":[51,196,230],"accuracy,":[52],"and":[53,129,193,205,227,263,281,294,304],"(2)":[54],"ignore":[57],"some":[58],"information.":[59],"To":[60],"address":[61],"above":[63],"problems,":[64],"this":[65,78,106,199],"proposes":[67,108],"a":[68,94,109,143,154,210],"joint":[71,87,103,118,139,146],"entropy":[72,88,104,119,140,147],"model":[73,79],"selection;":[77],"adopts":[80],"nonnegative":[82],"principle":[83],"to":[89,141,166,185],"evaluate":[90,167],"importance":[92,151,169,178],"candidate":[95,163,180],"gene.":[97],"Based":[98],"model,":[105,124],"new":[110],"algorithm:":[114],"(FNJE)":[120],"algorithm.":[121],"In":[122,198],"first,":[125],"particles":[128],"decision-making":[131],"are":[132],"combined":[133],"with":[134,233,301],"uncertainty":[136],"measure":[137],"construct":[142],"model.":[148],"Second,":[149],"degree":[152],"introduced":[157],"as":[158],"measurement":[160],"standard":[161],"genes":[165,226],"each":[171],"feature.":[172],"Third,":[173],"algorithm":[175,221,240],"uses":[176],"selecting":[183],"reduce":[186],"redundancy":[188],"selected":[191],"improve":[194,242],"accuracy.":[197,231],"paper,":[200],"UCI":[204],"datasets,":[207],"we":[208],"conduct":[209],"series":[211],"experiments.":[213],"experimental":[215],"results":[216],"show":[217],"that":[218],"proposed":[220,239],"can":[222,241,282],"select":[223],"fewer":[224],"achieve":[228],"higher":[229],"Compared":[232],"other":[235],"four":[236],"algorithms,":[237],"our":[238],"accuracy":[244,285],"by":[245],"0.4":[246],"$$\\%$$":[247,258,265,276,289,296],"<mml:math":[248,253,259,266,271,277,290,297],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[249,254,260,267,272,278,291,298],"<mml:mo>%</mml:mo>":[250,261,268,279,292,299],"</mml:math>":[251,256,262,269,274,280,293,300],"$$-$$":[252,270],"<mml:mo>-</mml:mo>":[255,273],"10.42":[257],"1.16":[264],"15.18":[275],"reach":[283],"maximum":[284],"values":[286],"90.52":[288],"87.02":[295],"linear-SVM":[303],"KNN":[305],"classifiers,":[306],"respectively.":[307]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}