{"id":"https://openalex.org/W2744787361","doi":"https://doi.org/10.1109/isie.2017.8001409","title":"Using interval type-2 fuzzy interpolation method to calibrate parallel machine tools","display_name":"Using interval type-2 fuzzy interpolation method to calibrate parallel machine tools","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2744787361","doi":"https://doi.org/10.1109/isie.2017.8001409","mag":"2744787361"},"language":"en","primary_location":{"id":"doi:10.1109/isie.2017.8001409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2017.8001409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058541397","display_name":"Ying Bai","orcid":"https://orcid.org/0000-0002-4820-5940"},"institutions":[{"id":"https://openalex.org/I152899642","display_name":"Johnson C. Smith University","ror":"https://ror.org/00s3z8519","country_code":"US","type":"education","lineage":["https://openalex.org/I152899642"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Bai","raw_affiliation_strings":["Johnson C. Smith University, Charlotte, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johnson C. Smith University, Charlotte, NC, USA","institution_ids":["https://openalex.org/I152899642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101543640","display_name":"Dali Wang","orcid":"https://orcid.org/0000-0001-6806-5108"},"institutions":[{"id":"https://openalex.org/I177308816","display_name":"Christopher Newport University","ror":"https://ror.org/00m4rwq02","country_code":"US","type":"education","lineage":["https://openalex.org/I177308816"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dali Wang","raw_affiliation_strings":["Christopher Newport University, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Christopher Newport University, VA, USA","institution_ids":["https://openalex.org/I177308816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11825434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1159","last_page":"1166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10571","display_name":"Robotic Mechanisms and Dynamics","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9975000023841858,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7556713223457336},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7348337173461914},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.7046390771865845},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.6791080236434937},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5947140455245972},{"id":"https://openalex.org/keywords/machine-tool","display_name":"Machine tool","score":0.5617976188659668},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5588050484657288},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5536745190620422},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4847850203514099},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.42431509494781494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42134255170822144},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.399020791053772},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3912274241447449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1370098888874054},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06939291954040527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7556713223457336},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7348337173461914},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7046390771865845},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.6791080236434937},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5947140455245972},{"id":"https://openalex.org/C5941749","wikidata":"https://www.wikidata.org/wiki/Q19768","display_name":"Machine tool","level":2,"score":0.5617976188659668},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5588050484657288},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5536745190620422},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4847850203514099},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.42431509494781494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42134255170822144},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.399020791053772},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3912274241447449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1370098888874054},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06939291954040527},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie.2017.8001409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2017.8001409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W336530676","https://openalex.org/W1589235273","https://openalex.org/W1935997258","https://openalex.org/W1968518598","https://openalex.org/W1979312102","https://openalex.org/W1983658296","https://openalex.org/W1986935580","https://openalex.org/W2003817347","https://openalex.org/W2045235906","https://openalex.org/W2053461690","https://openalex.org/W2065563952","https://openalex.org/W2084325269","https://openalex.org/W2088971719","https://openalex.org/W2094189531","https://openalex.org/W2098614740","https://openalex.org/W2105942045","https://openalex.org/W2108366832","https://openalex.org/W2111558666","https://openalex.org/W2121398730","https://openalex.org/W2124903375","https://openalex.org/W2125573909","https://openalex.org/W2125760014","https://openalex.org/W2127852426","https://openalex.org/W2132229732","https://openalex.org/W2146768117","https://openalex.org/W2150373164","https://openalex.org/W2162441142","https://openalex.org/W2289767613","https://openalex.org/W2411020504","https://openalex.org/W2532256052","https://openalex.org/W2547156380","https://openalex.org/W4243763747","https://openalex.org/W6663633094","https://openalex.org/W6679922824"],"related_works":["https://openalex.org/W1992503747","https://openalex.org/W2371519816","https://openalex.org/W2043154226","https://openalex.org/W2369529107","https://openalex.org/W2329043542","https://openalex.org/W2109948066","https://openalex.org/W1678858522","https://openalex.org/W3195090107","https://openalex.org/W1999333556","https://openalex.org/W2073535592"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,115,141],"an":[3,36,97],"extended":[4],"research":[5],"of":[6,75,84],"our":[7],"previous":[8],"study,":[9],"in":[10,23,64],"which":[11],"only":[12,122],"tpe-1":[13],"fuzzy":[14,100],"system":[15],"was":[16],"discussed,":[17],"for":[18,28,79,144],"a":[19,86,92,112],"novel":[20],"technique":[21,94],"used":[22,63],"the":[24,65,71,76,88,105,123,132],"pose":[25,77],"error":[26,40],"compensations":[27],"parallel":[29,80],"machine":[30,81],"tools":[31],"calibration":[32,67,109,133],"process":[33,134],"based":[34],"on":[35],"Interval":[37],"Type-2":[38],"Fuzzy":[39],"interpolation":[41,101],"(IT2FEI)":[42],"method.":[43],"Robot":[44],"calibrations":[45],"can":[46,127,135],"be":[47,62,128,136],"classified":[48],"into":[49],"model-based":[50],"and":[51,73,139],"modeless":[52,93],"methods.":[53],"Either":[54],"inverse":[55],"or":[56,107],"forward":[57],"kinematic":[58],"models":[59],"need":[60],"to":[61,69,103],"traditional":[66],"methods":[68],"perform":[70],"identification":[72],"compensation":[74,125],"errors":[78],"tools.":[82],"Instead":[83],"using":[85],"model,":[87],"proposed":[89],"method":[90,102],"presents":[91],"combined":[95],"with":[96],"interval":[98],"type-2":[99],"obtain":[104],"same":[106],"higher":[108],"accuracy":[110,126],"when":[111],"small":[113],"workspace":[114],"adopted.":[116],"Simulated":[117],"results":[118],"show":[119],"that":[120],"not":[121],"robot":[124],"improved,":[129],"but":[130],"also":[131],"significantly":[137],"simplified,":[138],"it":[140],"more":[142],"suitable":[143],"practical":[145],"applications.":[146]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}