{"id":"https://openalex.org/W2136967963","doi":"https://doi.org/10.1109/fuzzy.2008.4630537","title":"Finding fuzzy-rough reducts with fuzzy entropy","display_name":"Finding fuzzy-rough reducts with fuzzy entropy","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2136967963","doi":"https://doi.org/10.1109/fuzzy.2008.4630537","mag":"2136967963"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035819717","display_name":"Neil Mac Parthal\u00e1in","orcid":"https://orcid.org/0000-0003-1935-2914"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Neil Mac Parthalain","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Aberystwyth, Wales, UK","Dept. of Comput. Sci., Aberystwyth Univ., Aberystwyth#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Aberystwyth, Wales, UK","institution_ids":["https://openalex.org/I16038530"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Aberystwyth Univ., Aberystwyth#TAB#","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019423905","display_name":"Richard Jensen","orcid":"https://orcid.org/0000-0002-1016-1524"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Richard Jensen","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Aberystwyth, Wales, UK","Aberystwyth University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Aberystwyth, Wales, UK","institution_ids":["https://openalex.org/I16038530"]},{"raw_affiliation_string":"Aberystwyth University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036010787","display_name":"Qiang Shen","orcid":"https://orcid.org/0000-0001-9333-4605"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qiang Shen","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Aberystwyth, Wales, UK","Aberystwyth University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Aberystwyth, Wales, UK","institution_ids":["https://openalex.org/I16038530"]},{"raw_affiliation_string":"Aberystwyth University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16038530"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"1282","last_page":"1288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"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":1.0,"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":0.9901000261306763,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9380000233650208,"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/rough-set","display_name":"Rough set","score":0.6378486752510071},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6276254057884216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6096162796020508},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5866426229476929},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5469144582748413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453900098800659},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5377331972122192},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4875180423259735},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47200560569763184},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.46943214535713196},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4691540002822876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45888859033584595},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4442584216594696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32760024070739746}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6378486752510071},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6276254057884216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6096162796020508},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5866426229476929},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5469144582748413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453900098800659},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5377331972122192},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4875180423259735},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47200560569763184},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.46943214535713196},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4691540002822876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45888859033584595},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4442584216594696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32760024070739746},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/fuzzy.2008.4630537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.846.6674","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.846.6674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cadair.aber.ac.uk/dspace/bitstream/handle/2160/598/FS0305.pdf?sequence%3D1","raw_type":"text"},{"id":"pmh:oai:aber.ac.uk:Publications/dbba95c1-a211-4340-8686-e396fdef07b4","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401660","display_name":"Aberystwyth Research portal (Aberystwyth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I16038530","host_organization_name":"Aberystwyth University","host_organization_lineage":["https://openalex.org/I16038530"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:aber.ac.uk:publications/dbba95c1-a211-4340-8686-e396fdef07b4","is_oa":false,"landing_page_url":"https://pure.aber.ac.uk/portal/en/publications/finding-fuzzyrough-reducts-with-fuzzy-entropy(dbba95c1-a211-4340-8686-e396fdef07b4).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401660","display_name":"Aberystwyth Research portal (Aberystwyth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I16038530","host_organization_name":"Aberystwyth University","host_organization_lineage":["https://openalex.org/I16038530"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1484754041","https://openalex.org/W1528113134","https://openalex.org/W1587362683","https://openalex.org/W1591618909","https://openalex.org/W1670263352","https://openalex.org/W2002680690","https://openalex.org/W2039713917","https://openalex.org/W2084812512","https://openalex.org/W2086876270","https://openalex.org/W2099167966","https://openalex.org/W2102025148","https://openalex.org/W2108268240","https://openalex.org/W2108637261","https://openalex.org/W2119876047","https://openalex.org/W2125055259","https://openalex.org/W2127327101","https://openalex.org/W2128771953","https://openalex.org/W2133462743","https://openalex.org/W2160307100","https://openalex.org/W4255833381","https://openalex.org/W6676297544","https://openalex.org/W6678449394"],"related_works":["https://openalex.org/W2978519593","https://openalex.org/W2102746356","https://openalex.org/W2018750854","https://openalex.org/W4390066334","https://openalex.org/W1486684451","https://openalex.org/W2166637398","https://openalex.org/W2087021805","https://openalex.org/W2374152511","https://openalex.org/W2066929655","https://openalex.org/W4312800262"],"abstract_inverted_index":{"Dataset":[0],"dimensionality":[1,32],"is":[2,33,109,144],"undoubtedly":[3],"the":[4,37,54,64,105,112,116,124,158],"single":[5],"most":[6,65],"significant":[7],"obstacle":[8],"which":[9,30,60,108,153],"exasperates":[10],"any":[11,40],"attempt":[12,48],"to":[13,19,24,36,49,138],"apply":[14],"effective":[15],"computational":[16],"intelligence":[17],"techniques":[18,47,134],"problem":[20,27],"domains.":[21],"In":[22],"order":[23],"address":[25],"this":[26,97],"a":[28,51,58,77],"technique":[29],"reduces":[31],"employed":[34,104],"prior":[35],"application":[38],"of":[39,53,57,160],"classification":[41],"learning.":[42],"Such":[43,101],"feature":[44,132,150],"selection":[45,133,151,159],"(FS)":[46],"select":[50],"subset":[52],"original":[55],"features":[56],"dataset":[59],"are":[61],"rich":[62],"in":[63,79,115,123],"useful":[66],"information.":[67],"The":[68],"benefits":[69],"can":[70],"include":[71],"improved":[72,86],"data":[73],"visualisation":[74],"and":[75,81,84],"transparency,":[76],"reduction":[78],"training":[80],"utilisation":[82],"times":[83],"potentially,":[85],"prediction":[87],"performance.":[88],"Methods":[89],"based":[90,110],"on":[91,111],"fuzzy-rough":[92,140,149],"set":[93],"theory":[94],"have":[95,103],"demonstrated":[96],"with":[98,146],"much":[99],"success.":[100],"methods":[102],"dependency":[106],"function":[107],"information":[113],"contained":[114],"lower":[117],"approximation":[118],"as":[119],"an":[120],"evaluation":[121],"step":[122],"FS":[125],"process.":[126],"This":[127,142],"paper":[128],"presents":[129],"three":[130],"novel":[131],"employing":[135],"fuzzy":[136],"entropy":[137],"locate":[139],"reducts.":[141],"approach":[143],"compared":[145],"two":[147],"other":[148,155],"approaches":[152],"utilise":[154],"measures":[156],"for":[157],"subsets.":[161]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
