{"id":"https://openalex.org/W4285279366","doi":"https://doi.org/10.1109/tfuzz.2022.3185285","title":"Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space","display_name":"Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space","publication_year":2022,"publication_date":"2022-06-22","ids":{"openalex":"https://openalex.org/W4285279366","doi":"https://doi.org/10.1109/tfuzz.2022.3185285"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2022.3185285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3185285","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/A5100358463","display_name":"Jihong Wan","orcid":"https://orcid.org/0000-0002-9551-1844"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Wan","raw_affiliation_strings":["School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9551-1844","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358460","display_name":"Hongmei Chen","orcid":"https://orcid.org/0000-0002-7225-5577"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmei Chen","raw_affiliation_strings":["School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7225-5577","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070559820","display_name":"Tianrui Li","orcid":"https://orcid.org/0000-0001-7780-104X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Li","raw_affiliation_strings":["School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7780-104X","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060587388","display_name":"Binbin Sang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Sang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008041028","display_name":"Zhong Yuan","orcid":"https://orcid.org/0000-0002-7456-4445"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Yuan","raw_affiliation_strings":["School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7456-4445","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, and Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":6.7726,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97617803,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"31","issue":"1","first_page":"213","last_page":"225"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9521999955177307,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6721304059028625},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5975363254547119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5966809988021851},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5568453669548035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5023767948150635},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4893731474876404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4700525999069214},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.46049195528030396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44834065437316895},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.43679940700531006},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4280489385128021},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33517083525657654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32676491141319275}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6721304059028625},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5975363254547119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5966809988021851},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5568453669548035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5023767948150635},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4893731474876404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4700525999069214},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.46049195528030396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44834065437316895},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.43679940700531006},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4280489385128021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33517083525657654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32676491141319275},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2022.3185285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3185285","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/10","display_name":"Reduced inequalities","score":0.75}],"awards":[{"id":"https://openalex.org/G1169614869","display_name":null,"funder_award_id":"(61876157)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1814726428","display_name":null,"funder_award_id":"62076171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7385129332","display_name":null,"funder_award_id":"(61976182)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G919435706","display_name":null,"funder_award_id":"61976245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1612277053","https://openalex.org/W1627627888","https://openalex.org/W1981491391","https://openalex.org/W2027902860","https://openalex.org/W2076837108","https://openalex.org/W2082173396","https://openalex.org/W2096393821","https://openalex.org/W2097923398","https://openalex.org/W2098093602","https://openalex.org/W2126400212","https://openalex.org/W2128771953","https://openalex.org/W2170973913","https://openalex.org/W2292553612","https://openalex.org/W2342915065","https://openalex.org/W2416404380","https://openalex.org/W2511098035","https://openalex.org/W2619145493","https://openalex.org/W2743621318","https://openalex.org/W2766239046","https://openalex.org/W2781984644","https://openalex.org/W2806295587","https://openalex.org/W2806709681","https://openalex.org/W2887269903","https://openalex.org/W2899642931","https://openalex.org/W2907766640","https://openalex.org/W2913220806","https://openalex.org/W2951072626","https://openalex.org/W2966120476","https://openalex.org/W2981842822","https://openalex.org/W2985369951","https://openalex.org/W3020067472","https://openalex.org/W3034712888","https://openalex.org/W3045107841","https://openalex.org/W3092029138","https://openalex.org/W3092051759","https://openalex.org/W3100535899","https://openalex.org/W3101245099","https://openalex.org/W3124447356","https://openalex.org/W3164150245","https://openalex.org/W3202724793","https://openalex.org/W3202852441","https://openalex.org/W3204670138","https://openalex.org/W3212203443","https://openalex.org/W4213130781","https://openalex.org/W6606712637"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2487162673","https://openalex.org/W2382278777","https://openalex.org/W2793211469","https://openalex.org/W1964260090","https://openalex.org/W2978519593","https://openalex.org/W2102746356","https://openalex.org/W2018750854","https://openalex.org/W4390066334"],"abstract_inverted_index":{"Most":[0],"extant":[1],"feature":[2,37,132],"selection":[3],"works":[4],"neglect":[5],"interactive":[6],"features":[7,114],"in":[8,50,62,98],"the":[9,15,23,84,90,108,144],"form":[10],"of":[11,17,25,89,112,146],"groups,":[12],"leading":[13],"to":[14,36,82,106,130,142],"omission":[16],"some":[18],"important":[19],"discriminative":[20],"information.":[21],"Moreover,":[22],"prevalence":[24],"data":[26],"with":[27],"uncertainty,":[28],"fuzziness,":[29],"and":[30,47,86,110,126,134,148],"noise":[31],"poses":[32],"a":[33,44,66,75,119],"certain":[34],"obstacle":[35],"selection.":[38,135],"Driven":[39],"by":[40,74],"these":[41],"two":[42],"issues,":[43],"Feature":[45],"Grouping":[46],"Selection":[48],"approach":[49],"Robust":[51],"Fuzzy":[52],"Rough":[53],"Approximation":[54],"Space":[55],"using":[56],"graph":[57,116],"theory":[58],"(FGS-RFRAS)":[59],"is":[60,72,158],"proposed":[61],"this":[63],"study.":[64],"First,":[65],"robust":[67,99],"fuzzy":[68,78,91,100],"rough":[69,79,92,101],"approximation":[70,102],"space":[71,103],"constructed":[73],"neighborhood":[76],"adaptive$\\beta$-precision":[77],"set":[80,93],"model":[81],"enhance":[83],"robustness":[85,153],"antinoise":[87,159],"ability":[88],"model.":[94],"Second,":[95],"uncertainty":[96],"measures":[97],"are":[104,137],"defined":[105],"analyze":[107],"interactivity":[109],"redundancy":[111],"pairwise":[113],"on":[115,139],"structure.":[117],"Then,":[118],"strategy":[120],"ofInteractive":[121],"Retainment,":[122],"Weakly":[123],"Correlated":[124],"Removal,":[125],"Max-Dependent":[127],"Selectionis":[128],"devised":[129],"guide":[131],"grouping":[133],"Experiments":[136],"performed":[138],"21":[140],"datasets":[141],"evaluate":[143],"performance":[145],"FGS-RFRAS":[147],"demonstrate":[149],"its":[150],"significance.":[151],"The":[152],"test":[154],"indicates":[155],"that":[156],"it":[157],"for":[160],"mislabeling.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}