{"id":"https://openalex.org/W4385194814","doi":"https://doi.org/10.1109/tfuzz.2023.3298147","title":"Rules-Based Heterogeneous Feature Transfer Learning Using Fuzzy Inference","display_name":"Rules-Based Heterogeneous Feature Transfer Learning Using Fuzzy Inference","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4385194814","doi":"https://doi.org/10.1109/tfuzz.2023.3298147"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2023.3298147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2023.3298147","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/A5048941279","display_name":"Qiongdan Lou","orcid":"https://orcid.org/0000-0002-5931-5694"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiongdan Lou","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101226602","display_name":"Wu Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Sun","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441570","display_name":"W\u011bi Zh\u0101ng","orcid":"https://orcid.org/0000-0002-1533-6979"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042607110","display_name":"Zhaohong Deng","orcid":"https://orcid.org/0000-0002-0790-6492"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohong Deng","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048680068","display_name":"Kup\u2010Sze Choi","orcid":"https://orcid.org/0000-0003-0836-7088"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kup-Sze Choi","raw_affiliation_strings":["Centre for Smart Health, Hong Kong Polytechnic University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Centre for Smart Health, Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003183751","display_name":"Shitong Wang","orcid":"https://orcid.org/0000-0002-8393-6554"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shitong Wang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Digital Design and Software Technology, Wuxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048941279"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":1.4011,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84813752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"32","issue":"1","first_page":"306","last_page":"321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9814000129699707,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9814000129699707,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9429000020027161,"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/T12676","display_name":"Machine Learning and ELM","score":0.9286999702453613,"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/interpretability","display_name":"Interpretability","score":0.6088682413101196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6022411584854126},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5443243384361267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5425472855567932},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5216703414916992},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4714682400226593},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4576406180858612},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43755078315734863},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4327651262283325},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4287932217121124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4231814444065094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40976226329803467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3252260088920593}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6088682413101196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6022411584854126},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5443243384361267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425472855567932},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5216703414916992},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4714682400226593},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4576406180858612},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43755078315734863},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4327651262283325},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4287932217121124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4231814444065094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40976226329803467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3252260088920593},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2023.3298147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2023.3298147","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":[{"display_name":"Reduced inequalities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2278947543","display_name":null,"funder_award_id":"62176105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3922608999","display_name":null,"funder_award_id":"1-ZE1V","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1535602073","https://openalex.org/W1834646128","https://openalex.org/W1840338487","https://openalex.org/W1855484900","https://openalex.org/W1979511819","https://openalex.org/W1982463148","https://openalex.org/W1990088911","https://openalex.org/W1994348648","https://openalex.org/W2001645181","https://openalex.org/W2021814615","https://openalex.org/W2041280856","https://openalex.org/W2043377111","https://openalex.org/W2053036794","https://openalex.org/W2054535226","https://openalex.org/W2055103902","https://openalex.org/W2063828223","https://openalex.org/W2082425819","https://openalex.org/W2084126977","https://openalex.org/W2090923791","https://openalex.org/W2092108829","https://openalex.org/W2103351958","https://openalex.org/W2105281761","https://openalex.org/W2107036422","https://openalex.org/W2109518982","https://openalex.org/W2116896485","https://openalex.org/W2120845436","https://openalex.org/W2122156965","https://openalex.org/W2125865219","https://openalex.org/W2127356261","https://openalex.org/W2128539603","https://openalex.org/W2132037635","https://openalex.org/W2154872931","https://openalex.org/W2155686823","https://openalex.org/W2156938625","https://openalex.org/W2159749003","https://openalex.org/W2161110999","https://openalex.org/W2167713366","https://openalex.org/W2170607218","https://openalex.org/W2170647651","https://openalex.org/W2291196818","https://openalex.org/W2422697180","https://openalex.org/W2468072172","https://openalex.org/W2518659603","https://openalex.org/W2519397578","https://openalex.org/W2557279148","https://openalex.org/W2600775919","https://openalex.org/W2611209090","https://openalex.org/W2718680943","https://openalex.org/W2739480064","https://openalex.org/W2749748825","https://openalex.org/W2758375579","https://openalex.org/W2764024122","https://openalex.org/W2765814738","https://openalex.org/W2799809472","https://openalex.org/W2801477643","https://openalex.org/W2803375486","https://openalex.org/W2808408933","https://openalex.org/W2857279780","https://openalex.org/W2897382591","https://openalex.org/W2900529838","https://openalex.org/W2904255843","https://openalex.org/W2912721718","https://openalex.org/W2913240367","https://openalex.org/W2947069685","https://openalex.org/W2962790223","https://openalex.org/W2980172942","https://openalex.org/W3005485628","https://openalex.org/W3017133192","https://openalex.org/W3080610273","https://openalex.org/W3083841939","https://openalex.org/W3201204403","https://openalex.org/W4210258547","https://openalex.org/W4211007335","https://openalex.org/W4252134603","https://openalex.org/W4296079244","https://openalex.org/W4298137603","https://openalex.org/W4313116552","https://openalex.org/W4322621694","https://openalex.org/W6633602821","https://openalex.org/W6638894083","https://openalex.org/W6679488046","https://openalex.org/W6679847558","https://openalex.org/W6682133854","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4312407344","https://openalex.org/W2158511632"],"abstract_inverted_index":{"Heterogeneous":[0],"feature":[1,15,66,140,150,185],"transfer":[2,42,67,104,141],"(HeFT)":[3],"learning":[4,27,112,142,152],"can":[5],"leverage":[6],"the":[7,19,41,47,51,89,100,103,110,120,126,130,135,171,176,188,197,209,212],"semantically":[8],"related":[9],"source":[10,53,90,178],"domain":[11,21],"from":[12],"a":[13,62,137,183],"different":[14],"space":[16],"for":[17,88,154],"modeling":[18],"target":[20,55,92,180],"with":[22,114,147],"insufficient":[23],"information.":[24],"Although":[25],"HeFT":[26,97,111],"has":[28,78],"made":[29],"significant":[30],"progress,":[31],"it":[32],"still":[33],"faces":[34],"two":[35,60,79,131,193],"major":[36],"challenges:":[37],"weak":[38],"interpretability":[39,101],"of":[40,46,50,83,102,109,122,129,192,201,211],"process":[43],"and":[44,54,91,98,106,124,162,179,195,215],"underutilization":[45],"hidden":[48,127],"information":[49,128,165,200],"heterogeneous":[52,65,139,163,177],"domains.":[56,132],"To":[57],"address":[58],"these":[59],"challenges,":[61],"framework":[63,77,214],"called":[64],"using":[68],"fuzzy":[69,85,115,149],"inference":[70,116],"rules":[71,117],"(HeFT-FIR)":[72],"is":[73,144],"proposed.":[74],"The":[75,168],"HeFT-FIR":[76],"parts:":[80],"First,":[81],"design":[82],"Takagi\u2013Sugeno\u2013Kang":[84],"systems":[86],"(TSK-FSs)":[87],"domains,":[93,194],"respectively,":[94],"to":[95,118,207],"achieve":[96],"enhance":[99],"process;":[105],"second,":[107],"integration":[108],"mechanism":[113],"optimize":[119],"parameters":[121],"TSK-FSs":[123],"mine":[125],"Based":[133],"on":[134],"framework,":[136],"TSK-FS-based":[138],"method":[143],"then":[145],"developed":[146],"three":[148],"space-based":[151],"mechanisms":[153,169],"joint":[155],"distribution":[156,174],"adaptation,":[157],"local":[158,189],"geometric":[159,190],"property":[160],"preservation,":[161],"discriminant":[164,199],"extraction,":[166],"respectively.":[167],"reduce":[170],"difference":[172],"in":[173,182],"between":[175],"domains":[181],"common":[184],"subspace,":[186],"preserve":[187],"properties":[191],"extract":[196],"global":[198],"them.":[202],"Extensive":[203],"analyses":[204],"are":[205],"conducted":[206],"verify":[208],"superiority":[210],"proposed":[213],"method.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}