{"id":"https://openalex.org/W2001242094","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622351","title":"Scale and move transformation-based fuzzy rule interpolation with interval type-2 fuzzy sets","display_name":"Scale and move transformation-based fuzzy rule interpolation with interval type-2 fuzzy sets","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2001242094","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622351","mag":"2001242094"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2013.6622351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5115589986","display_name":"Chengyuan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Chengyuan Chen","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Aberystwyth, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Aberystwyth, UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063229067","display_name":"Chai Quek","orcid":"https://orcid.org/0000-0002-7313-4339"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chai Quek","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036010787","display_name":"Qiang Shen","orcid":"https://orcid.org/0000-0001-9333-4605"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qiang Shen","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Aberystwyth, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Aberystwyth, UK","institution_ids":["https://openalex.org/I16038530"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115589986"],"corresponding_institution_ids":["https://openalex.org/I16038530"],"apc_list":null,"apc_paid":null,"fwci":4.809,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94750194,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9997000098228455,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9951000213623047,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9836000204086304,"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/extrapolation","display_name":"Extrapolation","score":0.6490182876586914},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.6072690486907959},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6052988171577454},{"id":"https://openalex.org/keywords/type-2-fuzzy-sets-and-systems","display_name":"Type-2 fuzzy sets and systems","score":0.6032456755638123},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.5854943990707397},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5627594590187073},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5459446310997009},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5456997156143188},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5348479151725769},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.5273725986480713},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.5263546705245972},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5094073414802551},{"id":"https://openalex.org/keywords/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.5080626010894775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4948551058769226},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4787294566631317},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.4759754240512848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4699521064758301},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4102887213230133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4057598412036896},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06283959746360779}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.6490182876586914},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.6072690486907959},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6052988171577454},{"id":"https://openalex.org/C17350324","wikidata":"https://www.wikidata.org/wiki/Q7860605","display_name":"Type-2 fuzzy sets and systems","level":5,"score":0.6032456755638123},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.5854943990707397},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5627594590187073},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5459446310997009},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5456997156143188},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5348479151725769},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.5273725986480713},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.5263546705245972},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5094073414802551},{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.5080626010894775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4948551058769226},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4787294566631317},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.4759754240512848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4699521064758301},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4102887213230133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4057598412036896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06283959746360779},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2013.6622351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":29,"referenced_works":["https://openalex.org/W1884084180","https://openalex.org/W1985262089","https://openalex.org/W1986230769","https://openalex.org/W1992021188","https://openalex.org/W2010301304","https://openalex.org/W2013198395","https://openalex.org/W2022710062","https://openalex.org/W2041280856","https://openalex.org/W2058379370","https://openalex.org/W2089491238","https://openalex.org/W2097346619","https://openalex.org/W2103127765","https://openalex.org/W2105234323","https://openalex.org/W2112486431","https://openalex.org/W2117496317","https://openalex.org/W2122475393","https://openalex.org/W2123964448","https://openalex.org/W2126120381","https://openalex.org/W2132885717","https://openalex.org/W2135848366","https://openalex.org/W2136760654","https://openalex.org/W2141178894","https://openalex.org/W2149002934","https://openalex.org/W2156715830","https://openalex.org/W2157041604","https://openalex.org/W2162706466","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4245152641"],"related_works":["https://openalex.org/W2674573885","https://openalex.org/W2791004307","https://openalex.org/W2331106272","https://openalex.org/W2040464855","https://openalex.org/W2148720919","https://openalex.org/W3081963653","https://openalex.org/W2287021682","https://openalex.org/W2155303449","https://openalex.org/W2149153507","https://openalex.org/W1591757626"],"abstract_inverted_index":{"Fuzzy":[0],"rule":[1,13],"interpolation":[2,47],"(FRI)":[3],"is":[4],"an":[5],"important":[6],"technique":[7,122],"for":[8],"performing":[9],"inference":[10],"with":[11,23,50,137],"sparse":[12],"bases.":[14],"Even":[15],"when":[16],"a":[17,35,142],"given":[18],"observation":[19],"has":[20],"no":[21],"overlap":[22],"the":[24,39,55,59,66,88,106,119,132,147],"antecedent":[25],"values":[26,110],"of":[27,68,92,108,111,149],"any":[28],"existing":[29,89],"rules,":[30],"FRI":[31,93,121,140,151],"may":[32],"still":[33],"derive":[34],"conclusion.":[36],"In":[37],"particular,":[38],"scale":[40],"and":[41,48],"move":[42],"transformation-based":[43,90],"approach":[44,91,102,134],"can":[45,135],"handle":[46],"extrapolation":[49],"multiple":[51],"multi-antecedent":[52],"rules.":[53],"However,":[54],"difficulty":[56],"in":[57,139,141],"defining":[58],"required":[60],"precise-valued":[61],"membership":[62,80],"functions":[63,81],"significantly":[64],"restricts":[65],"application":[67],"FRI.":[69],"Type-2":[70],"fuzzy":[71,98,114],"sets":[72],"help":[73],"to":[74,123],"alleviate":[75],"such":[76],"limitations":[77],"because":[78],"their":[79],"are":[82],"themselves":[83],"fuzzy.":[84],"This":[85],"paper":[86],"extends":[87],"by":[94],"using":[95],"interval":[96,112],"type-2":[97,113],"sets.":[99],"The":[100,128],"proposed":[101,133],"not":[103],"only":[104],"facilitates":[105],"definition":[107],"representative":[109],"sets,":[115],"but":[116],"also":[117],"modifies":[118],"underlying":[120],"ensure":[124],"intuitive":[125],"interpolated":[126],"conclusions.":[127],"experimentation":[129],"demonstrates":[130],"that":[131],"deal":[136],"uncertainty":[138],"more":[143],"flexible":[144],"way,":[145],"extending":[146],"potential":[148],"conventional":[150],"techniques.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
