{"id":"https://openalex.org/W4295767906","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882588","title":"Fuzzy Inference based Operation Training Framework with Application to Microvascular Anastomosis","display_name":"Fuzzy Inference based Operation Training Framework with Application to Microvascular Anastomosis","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4295767906","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882588"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee55066.2022.9882588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882588","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-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/A5082844471","display_name":"Lichao Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Lichao Sun","raw_affiliation_strings":["King’s College London,School of Education, Communication & Society,London,United Kingdom"],"affiliations":[{"raw_affiliation_string":"King’s College London,School of Education, Communication & Society,London,United Kingdom","institution_ids":["https://openalex.org/I4210119896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060700468","display_name":"Yanpei Huang","orcid":"https://orcid.org/0000-0003-1988-0266"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yanpei Huang","raw_affiliation_strings":["Imperial College London,Department of Bioengineering,London,United Kingdom","Department of Bioengineering, Imperial College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Bioengineering,London,United Kingdom","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Bioengineering, Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031905138","display_name":"Weibang Bai","orcid":"https://orcid.org/0000-0002-8937-8485"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weibang Bai","raw_affiliation_strings":["Imperial College London,Department of Computing,London,United Kingdom","Department of Computing, Imperial College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Computing,London,United Kingdom","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Computing, Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082844471"],"corresponding_institution_ids":["https://openalex.org/I4210119896"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14136995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"84","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10868","display_name":"Soft Robotics and Applications","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.735774576663971},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"Fuzzy inference","score":0.6187343001365662},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5706642866134644},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5689122080802917},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5629305243492126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5243445038795471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5061964392662048},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4778837263584137},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4629002809524536},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45809537172317505},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.44450002908706665},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.35009193420410156},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.30092352628707886},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10757210850715637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.735774576663971},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.6187343001365662},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5706642866134644},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5689122080802917},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5629305243492126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5243445038795471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5061964392662048},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4778837263584137},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4629002809524536},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45809537172317505},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.44450002908706665},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.35009193420410156},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.30092352628707886},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10757210850715637},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee55066.2022.9882588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882588","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2819266950","display_name":null,"funder_award_id":"EP/P012779/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1492799266","https://openalex.org/W1570834090","https://openalex.org/W1635979774","https://openalex.org/W1969650934","https://openalex.org/W2030779769","https://openalex.org/W2043722029","https://openalex.org/W2049116181","https://openalex.org/W2113076747","https://openalex.org/W2134997172","https://openalex.org/W2148655276","https://openalex.org/W2191886813","https://openalex.org/W2310533075","https://openalex.org/W2733384972","https://openalex.org/W2741245217","https://openalex.org/W2754496014","https://openalex.org/W2776378542","https://openalex.org/W2789614440","https://openalex.org/W2804996938","https://openalex.org/W2925956761","https://openalex.org/W2954668990","https://openalex.org/W2983371241","https://openalex.org/W3000306622","https://openalex.org/W3014242526","https://openalex.org/W3021619395","https://openalex.org/W3038886817","https://openalex.org/W3041688022","https://openalex.org/W3081598944","https://openalex.org/W3123752327","https://openalex.org/W3135073999","https://openalex.org/W3176018016","https://openalex.org/W3196662912","https://openalex.org/W3197540886","https://openalex.org/W3209339937","https://openalex.org/W3213075624","https://openalex.org/W4200407256","https://openalex.org/W4206900136","https://openalex.org/W4225515713","https://openalex.org/W4233066216","https://openalex.org/W4240387119","https://openalex.org/W4244514994","https://openalex.org/W4255599054","https://openalex.org/W6676553695","https://openalex.org/W6764731833","https://openalex.org/W6776730770","https://openalex.org/W6791851498","https://openalex.org/W6802882907"],"related_works":["https://openalex.org/W2114654021","https://openalex.org/W2263529430","https://openalex.org/W2389800468","https://openalex.org/W4390103748","https://openalex.org/W2763641192","https://openalex.org/W2150377753","https://openalex.org/W2392430664","https://openalex.org/W3162202563","https://openalex.org/W2377425550","https://openalex.org/W2364727641"],"abstract_inverted_index":{"Most":[0],"conventional":[1],"training":[2,23,34,106,131,136,150,165,170],"schemes":[3],"require":[4,15],"trainees":[5,125],"to":[6,49,76,128],"perform":[7],"repetitive":[8,105],"operations.":[9],"In":[10],"this":[11],"way,":[12],"novices":[13],"usually":[14],"a":[16,32,41,118],"long":[17,135],"learning":[18],"period":[19],"and":[20,69,115],"lack":[21],"personalized":[22],"assistance.":[24],"To":[25],"address":[26],"the":[27,51,70,77,83,87,90,99,109,148,168],"above":[28],"issues,":[29],"we":[30],"propose":[31],"new":[33],"framework":[35],"based":[36,53],"on":[37,54,158],"fuzzy":[38,43],"inference.":[39],"Firstly,":[40],"modified":[42],"C-means":[44],"(FCM)":[45],"classifier":[46],"is":[47,60,144],"utilised":[48],"partition":[50],"tasks":[52],"human":[55],"motor":[56],"behaviours.":[57],"Operation":[58],"performance":[59],"comprehensively":[61],"assessed":[62],"in":[63,79,117,130],"each":[64,94],"subtask":[65,84],"by":[66],"task-based":[67],"criterion":[68],"corresponding":[71],"results":[72],"are":[73],"fed":[74],"back":[75],"trainee":[78,88,110],"real":[80],"time":[81],"during":[82],"execution.":[85],"Once":[86],"reaches":[89],"operational":[91],"standard":[92],"of":[93,124,154,167],"subtask,":[95],"he/she":[96],"can":[97,111,126],"proceed":[98],"next":[100],"one.":[101],"Distinguished":[102],"from":[103],"traditional":[104],"without":[107],"intervention,":[108],"leverage":[112],"purposeful":[113],"modifications":[114],"repetitions":[116],"closed-loop":[119],"manner.":[120],"The":[121,141],"expertise":[122],"degree":[123],"lead":[127],"differences":[129],"time,":[132],"avoiding":[133],"unnecessarily":[134],"sessions":[137],"for":[138,147],"experienced":[139],"trainees.":[140],"proposed":[142,169],"method":[143],"therefore":[145],"suitable":[146],"parallel":[149],"with":[151],"different":[152],"levels":[153],"operation.":[155],"Comparative":[156],"experiments":[157],"microvascular":[159],"anastomosis":[160],"task":[161],"have":[162],"demonstrated":[163],"higher":[164],"efficiency":[166],"strategy.":[171]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}