{"id":"https://openalex.org/W4407008797","doi":"https://doi.org/10.1109/tfuzz.2025.3536564","title":"Constructing Three-Way Decision With Fuzzy Granular-Ball Rough Sets Based on Uncertainty Invariance","display_name":"Constructing Three-Way Decision With Fuzzy Granular-Ball Rough Sets Based on Uncertainty Invariance","publication_year":2025,"publication_date":"2025-01-30","ids":{"openalex":"https://openalex.org/W4407008797","doi":"https://doi.org/10.1109/tfuzz.2025.3536564"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2025.3536564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3536564","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on 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/A5051567462","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-6580-9287"},"institutions":[{"id":"https://openalex.org/I4210091787","display_name":"Zunyi Normal College","ror":"https://ror.org/00g2pnp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091787"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Yang","raw_affiliation_strings":["School of Physics and Electronic Science, Zunyi Normal University, Zunyi, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Science, Zunyi Normal University, Zunyi, China","institution_ids":["https://openalex.org/I4210091787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108057010","display_name":"Zhuangzhuang Liu","orcid":"https://orcid.org/0000-0002-0756-2538"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuangzhuang Liu","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031220156","display_name":"Guoyin Wang","orcid":"https://orcid.org/0000-0002-8521-5232"},"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":"Guoyin Wang","raw_affiliation_strings":["Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327271","display_name":"Qinghua Zhang","orcid":"https://orcid.org/0000-0002-4162-7155"},"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":"Qinghua Zhang","raw_affiliation_strings":["Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081917098","display_name":"Shuyin Xia","orcid":"https://orcid.org/0000-0002-8991-7477"},"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":"Shuyin Xia","raw_affiliation_strings":["Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018774","display_name":"Di Wu","orcid":"https://orcid.org/0009-0008-5912-6683"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]},{"id":"https://openalex.org/I4210091787","display_name":"Zunyi Normal College","ror":"https://ror.org/00g2pnp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091787"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China","School of Mathematics, Zunyi Normal University, Zunyi, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Mathematics, Zunyi Normal University, Zunyi, China","institution_ids":["https://openalex.org/I4210091787"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanmin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091787","display_name":"Zunyi Normal College","ror":"https://ror.org/00g2pnp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091787"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmin Liu","raw_affiliation_strings":["School of Mathematics, Zunyi Normal University, Zunyi, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Zunyi Normal University, Zunyi, China","institution_ids":["https://openalex.org/I4210091787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5051567462"],"corresponding_institution_ids":["https://openalex.org/I4210091787"],"apc_list":null,"apc_paid":null,"fwci":61.6518,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.99912827,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"33","issue":"6","first_page":"1781","last_page":"1792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9983000159263611,"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":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.6007765531539917},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5668059587478638},{"id":"https://openalex.org/keywords/ball","display_name":"Ball (mathematics)","score":0.5555329322814941},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5513595342636108},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.508454442024231},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4853740930557251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4062490165233612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40527474880218506},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18021425604820251}],"concepts":[{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.6007765531539917},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5668059587478638},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.5555329322814941},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5513595342636108},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.508454442024231},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4853740930557251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4062490165233612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40527474880218506},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18021425604820251}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2025.3536564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3536564","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W95749022","https://openalex.org/W1512234690","https://openalex.org/W1978603136","https://openalex.org/W2014788144","https://openalex.org/W2018113971","https://openalex.org/W2027654459","https://openalex.org/W2070813883","https://openalex.org/W2089923511","https://openalex.org/W2117501337","https://openalex.org/W2153676086","https://openalex.org/W2158633287","https://openalex.org/W2175162522","https://openalex.org/W2534449155","https://openalex.org/W2593120256","https://openalex.org/W2600072788","https://openalex.org/W2737801118","https://openalex.org/W2892294644","https://openalex.org/W2895601569","https://openalex.org/W2907098052","https://openalex.org/W2908436867","https://openalex.org/W2912707296","https://openalex.org/W2947702829","https://openalex.org/W2998870025","https://openalex.org/W3004195723","https://openalex.org/W3008335143","https://openalex.org/W3029713334","https://openalex.org/W3093703605","https://openalex.org/W3154704107","https://openalex.org/W3161620509","https://openalex.org/W3183381914","https://openalex.org/W3190710259","https://openalex.org/W3203428375","https://openalex.org/W4200009809","https://openalex.org/W4206593873","https://openalex.org/W4211007335","https://openalex.org/W4221140034","https://openalex.org/W4255833381","https://openalex.org/W4308906816","https://openalex.org/W4309530820","https://openalex.org/W4313123991","https://openalex.org/W4322576590","https://openalex.org/W4323924132","https://openalex.org/W4385757408","https://openalex.org/W4391697035","https://openalex.org/W4396712983","https://openalex.org/W4396852898"],"related_works":["https://openalex.org/W2385082087","https://openalex.org/W2978631811","https://openalex.org/W2381555525","https://openalex.org/W2484240834","https://openalex.org/W327654139","https://openalex.org/W2389689794","https://openalex.org/W1970726137","https://openalex.org/W2766401420","https://openalex.org/W2367964367","https://openalex.org/W2004353068"],"abstract_inverted_index":{"Granular-ball":[0],"computing":[1],"(GBC)":[2],"proposed":[3],"by":[4,26,173],"Xia":[5],"adaptively":[6],"generates":[7],"a":[8,39,81,115,141],"different":[9],"neighborhood":[10],"for":[11,103],"each":[12,44],"object,":[13],"resulting":[14],"in":[15,114,160,213],"greater":[16],"generality":[17],"and":[18,47,151,176,191,218],"flexibility.":[19],"Moreover,":[20],"GBC":[21,78],"greatly":[22],"improves":[23],"the":[24,33,50,92,123,132,153,163],"efficiency":[25,217],"replacing":[27],"point":[28],"input":[29],"with":[30,85,108,145,186],"granular-ball.":[31],"However,":[32],"current":[34],"GB-based":[35,189],"classifiers":[36,190,196],"rigidly":[37],"assign":[38],"specific":[40],"class":[41],"label":[42],"to":[43,53,79,98],"data":[45],"instance":[46],"lacks":[48],"of":[49,94,126,156,169,215],"necessary":[51],"strategies":[52],"address":[54],"uncertain":[55,63],"instances.":[56],"These":[57],"far-fetched":[58],"certain":[59,127],"classification":[60],"approachs":[61],"toward":[62],"instances":[64],"may":[65],"suffer":[66],"considerable":[67],"risks.":[68],"In":[69],"this":[70],"article,":[71],"we":[72,138],"introduce":[73],"three-way":[74,83,143],"decision":[75,84,106,144,158],"(3WD)":[76],"into":[77],"construct":[80,99],"novel":[82],"fuzzy":[86,146],"granular-ball":[87,147,165,177],"rough":[88,148],"sets":[89,149],"(3WD-FGBRS)":[90],"from":[91],"perspective":[93],"uncertainty.":[95,109],"This":[96],"helps":[97],"reasonable":[100],"multigranularity":[101],"spaces":[102],"handling":[104],"complex":[105],"problems":[107],"First,":[110],"3WD-FGBRS":[111],"is":[112,171],"constructed":[113],"data-driven":[116],"method":[117],"based":[118],"on":[119,136,197],"fuzziness,":[120],"which":[121],"avoids":[122],"subjective":[124],"definition":[125],"risk":[128],"parameters":[129],"when":[130],"calculating":[131],"threshold":[133],"pairs.":[134],"Based":[135],"3WD-FGBRS,":[137],"further":[139],"propose":[140],"sequential":[142],"(S3WD-FGBRS)":[150],"analyze":[152],"fuzziness":[154,175],"loss":[155],"multilevel":[157],"result":[159],"S3WD-FGBRS.":[161],"Then,":[162],"optimal":[164],"space":[166,178],"selection":[167],"mechanism":[168],"S3WD-FGBRS":[170],"introduced":[172],"combining":[174],"distance.":[179],"Finally,":[180],"extensive":[181],"comparative":[182],"experiments":[183],"are":[184],"conducted":[185],"3":[187,192],"state-of-the-art":[188],"classical":[193],"machine":[194],"learning":[195],"12":[198],"public":[199],"benchmark":[200],"datasets.":[201],"The":[202],"results":[203],"show":[204],"that":[205],"our":[206],"models":[207],"almost":[208],"outperform":[209],"other":[210],"comparison":[211],"methods":[212],"terms":[214],"effectiveness,":[216],"robustness.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":33}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}