{"id":"https://openalex.org/W7114889858","doi":"https://doi.org/10.1007/s10489-025-07025-9","title":"Attributes reduction for incomplete data by bidirectional fuzzy similarity discriminability","display_name":"Attributes reduction for incomplete data by bidirectional fuzzy similarity discriminability","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7114889858","doi":"https://doi.org/10.1007/s10489-025-07025-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-025-07025-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-025-07025-9","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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":null,"display_name":"Xiangjian Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108113","display_name":"Yango University","ror":"https://ror.org/01eqh1863","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108113"]},{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]},{"id":"https://openalex.org/I4210141542","display_name":"Yangzhou Vocational University","ror":"https://ror.org/03sxsay12","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangjian Chen","raw_affiliation_strings":["College of Information Engineering (College of Artificial Intelligence), Yangzhou University, Yangzhou, 225127, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering (College of Artificial Intelligence), Yangzhou University, Yangzhou, 225127, Jiangsu, China","institution_ids":["https://openalex.org/I78978612","https://openalex.org/I4210141542","https://openalex.org/I4210108113"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiabao Tang","orcid":"https://orcid.org/0009-0005-2998-3412"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]},{"id":"https://openalex.org/I4210141542","display_name":"Yangzhou Vocational University","ror":"https://ror.org/03sxsay12","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141542"]},{"id":"https://openalex.org/I4210108113","display_name":"Yango University","ror":"https://ror.org/01eqh1863","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiabao Tang","raw_affiliation_strings":["College of Information Engineering (College of Artificial Intelligence), Yangzhou University, Yangzhou, 225127, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering (College of Artificial Intelligence), Yangzhou University, Yangzhou, 225127, Jiangsu, China","institution_ids":["https://openalex.org/I78978612","https://openalex.org/I4210141542","https://openalex.org/I4210108113"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jianhua Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Dai","raw_affiliation_strings":["Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, 410081, Hunan, China"],"affiliations":[{"raw_affiliation_string":"Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, 410081, Hunan, China","institution_ids":["https://openalex.org/I173759888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210108113","https://openalex.org/I4210141542","https://openalex.org/I78978612"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70632247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":"18","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.3887999951839447,"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":0.3887999951839447,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.057100001722574234,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.04899999871850014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7257000207901001},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5871999859809875},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5497999787330627},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.47600001096725464},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4733999967575073},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.42649999260902405},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.41269999742507935},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.40630000829696655}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7257000207901001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617900013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.617900013923645},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5871999859809875},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5497999787330627},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.42649999260902405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4207000136375427},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.40630000829696655},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3637000024318695},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33239999413490295},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3156000077724457},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.3012999892234802},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.26019999384880066}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-025-07025-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-025-07025-9","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7549101114273071,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1973067694","https://openalex.org/W1986537524","https://openalex.org/W2007686858","https://openalex.org/W2007810691","https://openalex.org/W2009643043","https://openalex.org/W2016944307","https://openalex.org/W2046110574","https://openalex.org/W2055307975","https://openalex.org/W2082173396","https://openalex.org/W2083862258","https://openalex.org/W2086785573","https://openalex.org/W2095290023","https://openalex.org/W2097923398","https://openalex.org/W2098093602","https://openalex.org/W2103514965","https://openalex.org/W2128406786","https://openalex.org/W2128771953","https://openalex.org/W2147986578","https://openalex.org/W2515077010","https://openalex.org/W2752796504","https://openalex.org/W2766239046","https://openalex.org/W2901106291","https://openalex.org/W2968250595","https://openalex.org/W3082900329","https://openalex.org/W3126677216","https://openalex.org/W3168097493","https://openalex.org/W4255833381","https://openalex.org/W4280494063","https://openalex.org/W4304080453","https://openalex.org/W4376254172","https://openalex.org/W4378190577","https://openalex.org/W4378675355","https://openalex.org/W4388802804","https://openalex.org/W4401373116"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-12-13T23:11:00.310470","created_date":"2025-12-12T00:00:00"}