{"id":"https://openalex.org/W2885166390","doi":"https://doi.org/10.3233/jifs-171989","title":"Attribute reduction based on improved information entropy","display_name":"Attribute reduction based on improved information entropy","publication_year":2018,"publication_date":"2018-07-28","ids":{"openalex":"https://openalex.org/W2885166390","doi":"https://doi.org/10.3233/jifs-171989","mag":"2885166390"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-171989","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-171989","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 & 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/A5029906760","display_name":"Baohua Liang","orcid":"https://orcid.org/0000-0002-1559-9445"},"institutions":[{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baohua Liang","raw_affiliation_strings":["Institute of Information Engineering, Chaohu University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chaohu University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I46520130","https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649560","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0003-2046-4366"},"institutions":[{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Institute of Foreign Language, Chaohu University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Institute of Foreign Language, Chaohu University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I46520130"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014714438","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-3314-1750"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Institute of Information Engineering, Chaohu University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chaohu University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I46520130","https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029906760"],"corresponding_institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I46520130"],"apc_list":null,"apc_paid":null,"fwci":1.0097,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78639348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"709","last_page":"718"},"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":0.983299970626831,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9797999858856201,"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/entropy","display_name":"Entropy (arrow of time)","score":0.5874127745628357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5487908720970154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48052558302879333},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.4543667137622833},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.427878737449646},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.41004878282546997},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37263697385787964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3650016784667969}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5874127745628357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5487908720970154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48052558302879333},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4543667137622833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.427878737449646},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.41004878282546997},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37263697385787964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3650016784667969},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-171989","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-171989","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 & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2047452284","https://openalex.org/W2079680557","https://openalex.org/W2118561568","https://openalex.org/W2139736658","https://openalex.org/W2143040521","https://openalex.org/W2323768666","https://openalex.org/W2365382545","https://openalex.org/W2367837550","https://openalex.org/W2374871830","https://openalex.org/W2376033046","https://openalex.org/W2394241996","https://openalex.org/W2746211813","https://openalex.org/W2993383518","https://openalex.org/W3105524694","https://openalex.org/W4255833381","https://openalex.org/W7024522057"],"related_works":["https://openalex.org/W1594844924","https://openalex.org/W2909382770","https://openalex.org/W2022185900","https://openalex.org/W3011139431","https://openalex.org/W1976030966","https://openalex.org/W2375297110","https://openalex.org/W2393545987","https://openalex.org/W2108868088","https://openalex.org/W2186154121","https://openalex.org/W2100996562"],"abstract_inverted_index":{"The":[0],"choice":[1,119],"of":[2,10,19,23,36,46,59,73,85,98,120,123,140,143,158,163],"attribute":[3,11,99,125,177],"significance":[4],"is":[5,16,126,183],"the":[6,21,27,34,44,57,83,118,121,124,137,147,156,161,164,176],"most":[7],"important":[8],"step":[9],"reduction":[12,100,178],"algorithm.":[13,165],"Information":[14],"entropy":[15,76,80,111,182],"a":[17],"method":[18],"calculating":[20],"importance":[22,45,122],"attributes.":[24],"Due":[25],"to":[26],"fact":[28],"that":[29,117,175],"information":[30,75,79,110,114],"view":[31],"only":[32],"takes":[33],"size":[35],"knowledge":[37],"granularity":[38],"into":[39,108],"account":[40],"rather":[41],"than":[42],"measures":[43],"attributes":[47],"objectively":[48],"and":[49,77,112,129,135,150,154,169,185],"comprehensively":[50],"this":[51,68],"paper":[52,69],"begins":[53],"with":[54],"putting":[55],"forward":[56],"definition":[58,84],"approximate":[60,105],"boundary":[61,106],"accuracy":[62,139],"based":[63,81,179],"on":[64,82,160,180],"algebra":[65],"view.":[66],"Afterwards,":[67],"proposes":[70],"two":[71,95],"concepts":[72],"relative":[74,86,109],"enhanced":[78,113],"fuzzy":[87],"entropy,":[88,115],"which":[89],"has":[90],"obvious":[91],"magnification":[92],"effect.":[93],"Then,":[94],"new":[96],"methods":[97],"are":[101],"proposed":[102],"by":[103,145],"incorporating":[104],"precision":[107],"so":[116],"more":[127],"objective":[128],"comprehensive.":[130],"Finally,":[131],"it":[132,171],"will":[133],"analyze":[134,155],"compare":[136],"classification":[138],"each":[141],"kind":[142],"algorithm":[144],"using":[146],"SVM":[148],"classifier":[149],"ten-fold":[151],"crossover":[152],"method,":[153],"influence":[157],"outliers":[159],"effect":[162],"Through":[166],"experimental":[167],"analysis":[168],"comparison,":[170],"can":[172],"be":[173],"concluded":[174],"improved":[181],"feasible":[184],"effective.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}