{"id":"https://openalex.org/W2115742991","doi":"https://doi.org/10.1109/fuzzy.2008.4630425","title":"A framework of adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS)","display_name":"A framework of adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS)","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2115742991","doi":"https://doi.org/10.1109/fuzzy.2008.4630425","mag":"2115742991"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://research-repository.uwa.edu.au/en/publications/a-framework-of-adaptive-ts-type-roughfuzzy-inference-systems-arfis(78f082b8-afe1-4f64-a45c-940525a85f57).html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068039545","display_name":"ChangSu Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"ChangSu Lee","raw_affiliation_strings":["School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA, Australia","Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Perth, WA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]},{"raw_affiliation_string":"Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Perth, WA","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037916802","display_name":"Anthony Zaknich","orcid":null},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anthony Zaknich","raw_affiliation_strings":["School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA, Australia","Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Perth, WA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]},{"raw_affiliation_string":"Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Perth, WA","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023652725","display_name":"Thomas Br\u00e4unl","orcid":"https://orcid.org/0000-0003-3215-0161"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thomas Braunl","raw_affiliation_strings":["School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA, Australia","Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Perth, WA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]},{"raw_affiliation_string":"Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Perth, WA","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068039545"],"corresponding_institution_ids":["https://openalex.org/I177877127"],"apc_list":null,"apc_paid":null,"fwci":3.2877,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91999595,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3518","issue":null,"first_page":"567","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994000196456909,"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":0.9994000196456909,"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/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/T10320","display_name":"Neural Networks and Applications","score":0.9818999767303467,"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/rough-set","display_name":"Rough set","score":0.6134152412414551},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.5902079939842224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5558068156242371},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.5008995532989502},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4970736801624298},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.473435640335083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4718964993953705},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4666955769062042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4628203809261322},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4619129002094269},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4425101578235626},{"id":"https://openalex.org/keywords/dominance-based-rough-set-approach","display_name":"Dominance-based rough set approach","score":0.4421822130680084},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.4407847225666046},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.4345313608646393},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42353278398513794},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4171622693538666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39239048957824707},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.3214481472969055},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15686938166618347}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6134152412414551},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.5902079939842224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5558068156242371},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.5008995532989502},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4970736801624298},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.473435640335083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4718964993953705},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4666955769062042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4628203809261322},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4619129002094269},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4425101578235626},{"id":"https://openalex.org/C39105242","wikidata":"https://www.wikidata.org/wiki/Q5290286","display_name":"Dominance-based rough set approach","level":3,"score":0.4421822130680084},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.4407847225666046},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.4345313608646393},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42353278398513794},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4171622693538666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39239048957824707},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3214481472969055},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15686938166618347}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/fuzzy.2008.4630425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/78f082b8-afe1-4f64-a45c-940525a85f57","is_oa":true,"landing_page_url":"https://admin.research-repository.uwa.edu.au/en/publications/78f082b8-afe1-4f64-a45c-940525a85f57","pdf_url":"http://research-repository.uwa.edu.au/en/publications/a-framework-of-adaptive-ts-type-roughfuzzy-inference-systems-arfis(78f082b8-afe1-4f64-a45c-940525a85f57).html","source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lee, C S 2008, 'A framework of adaptive T-S type rough-fuzzy inference systems (ARFIS)', Doctor of Philosophy.","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"pmh:oai:pure.atira.dk:publications/53065bf1-d7bf-4f30-9488-f9991cec3a54","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/53065bf1-d7bf-4f30-9488-f9991cec3a54","pdf_url":null,"source":{"id":"https://openalex.org/S4306402492","display_name":"UWA Profiles and Research Repository (UWA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lee, C S, Zaknich, A & Braunl, T 2008, A Framework of Adaptive T-S Type Rough-Fuzzy Inference Systems (ARFIS). in Z-G Hou (ed.), WCCI 2008 Proceedings. Hong Kong edn, vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Hong Kong, PR China, pp. 567-574, 2008 IEEE World Congress on Computational Intelligence, Hong Kong, 1/06/08.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ro.ecu.edu.au:ecuworks-6295","is_oa":false,"landing_page_url":"https://ro.ecu.edu.au/ecuworks/5296","pdf_url":null,"source":{"id":"https://openalex.org/S2765015692","display_name":"Australasian Journal of Paramedicine","issn_l":"2202-7270","issn":["2202-7270"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ECU Publications Pre. 2011","raw_type":"conference"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/78f082b8-afe1-4f64-a45c-940525a85f57","is_oa":true,"landing_page_url":"https://admin.research-repository.uwa.edu.au/en/publications/78f082b8-afe1-4f64-a45c-940525a85f57","pdf_url":"http://research-repository.uwa.edu.au/en/publications/a-framework-of-adaptive-ts-type-roughfuzzy-inference-systems-arfis(78f082b8-afe1-4f64-a45c-940525a85f57).html","source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lee, C S 2008, 'A framework of adaptive T-S type rough-fuzzy inference systems (ARFIS)', Doctor of Philosophy.","raw_type":"info:eu-repo/semantics/doctoralThesis"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2115742991.pdf"},"referenced_works_count":107,"referenced_works":["https://openalex.org/W124577448","https://openalex.org/W1021391101","https://openalex.org/W1482209170","https://openalex.org/W1484754041","https://openalex.org/W1484841226","https://openalex.org/W1508620301","https://openalex.org/W1513016807","https://openalex.org/W1553773604","https://openalex.org/W1597910678","https://openalex.org/W1770691372","https://openalex.org/W1898259180","https://openalex.org/W1966952808","https://openalex.org/W1971082671","https://openalex.org/W1975965573","https://openalex.org/W1976239553","https://openalex.org/W1981107449","https://openalex.org/W1986242523","https://openalex.org/W2005336137","https://openalex.org/W2007187232","https://openalex.org/W2016576739","https://openalex.org/W2016883203","https://openalex.org/W2023577742","https://openalex.org/W2023904962","https://openalex.org/W2026980413","https://openalex.org/W2027654459","https://openalex.org/W2031827208","https://openalex.org/W2036135215","https://openalex.org/W2037713661","https://openalex.org/W2043077493","https://openalex.org/W2046738003","https://openalex.org/W2047183883","https://openalex.org/W2049441685","https://openalex.org/W2050272285","https://openalex.org/W2055278641","https://openalex.org/W2060751839","https://openalex.org/W2062706881","https://openalex.org/W2068006336","https://openalex.org/W2068203989","https://openalex.org/W2075159510","https://openalex.org/W2079325629","https://openalex.org/W2084812512","https://openalex.org/W2093047214","https://openalex.org/W2096362267","https://openalex.org/W2096768134","https://openalex.org/W2097798423","https://openalex.org/W2098562708","https://openalex.org/W2098693229","https://openalex.org/W2099308383","https://openalex.org/W2101502731","https://openalex.org/W2103269436","https://openalex.org/W2103518983","https://openalex.org/W2108742134","https://openalex.org/W2109779438","https://openalex.org/W2111438810","https://openalex.org/W2113076747","https://openalex.org/W2113413706","https://openalex.org/W2117087435","https://openalex.org/W2117544029","https://openalex.org/W2118392448","https://openalex.org/W2118542389","https://openalex.org/W2119893066","https://openalex.org/W2126551622","https://openalex.org/W2127727096","https://openalex.org/W2128597623","https://openalex.org/W2129040945","https://openalex.org/W2131865406","https://openalex.org/W2133118325","https://openalex.org/W2133135175","https://openalex.org/W2136024399","https://openalex.org/W2136508073","https://openalex.org/W2138451337","https://openalex.org/W2140826205","https://openalex.org/W2141577822","https://openalex.org/W2142703368","https://openalex.org/W2142835304","https://openalex.org/W2143747596","https://openalex.org/W2144630308","https://openalex.org/W2144985919","https://openalex.org/W2145479133","https://openalex.org/W2145747704","https://openalex.org/W2147692504","https://openalex.org/W2149807144","https://openalex.org/W2151577678","https://openalex.org/W2153830759","https://openalex.org/W2158316397","https://openalex.org/W2159771557","https://openalex.org/W2160327601","https://openalex.org/W2162450741","https://openalex.org/W2163911101","https://openalex.org/W2165443272","https://openalex.org/W2166777045","https://openalex.org/W2168523997","https://openalex.org/W2170253703","https://openalex.org/W2170288987","https://openalex.org/W2259289169","https://openalex.org/W2314945502","https://openalex.org/W2327088997","https://openalex.org/W2340020088","https://openalex.org/W2344717046","https://openalex.org/W2418583921","https://openalex.org/W2538730068","https://openalex.org/W2912565176","https://openalex.org/W2982720039","https://openalex.org/W2990995826","https://openalex.org/W3146863510","https://openalex.org/W4232514889","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2674573885","https://openalex.org/W1487720066","https://openalex.org/W1975005191","https://openalex.org/W2781808531","https://openalex.org/W3107001035","https://openalex.org/W4361984403","https://openalex.org/W3207735076","https://openalex.org/W1501518539","https://openalex.org/W2791187250","https://openalex.org/W2066929655"],"abstract_inverted_index":{"The":[0,18,91,126,159],"rough-fuzzy":[1,29,95],"hybridization":[2],"scheme":[3],"has":[4],"become":[5],"of":[6,12,46,54,74,124,129,137,154,161,165,176],"research":[7],"interest":[8],"in":[9,173],"a":[10,22,51,116,174],"variety":[11,175],"areas":[13,178],"over":[14],"the":[15,44,71,80,86,102,107,120,135,152,155,162],"past":[16],"decade.":[17],"present":[19],"paper":[20],"proposes":[21],"general":[23],"framework":[24,128,164],"for":[25,33,119],"adaptive":[26],"T-S":[27,63,93],"type":[28,64,94],"inference":[30,66,96],"systems":[31],"(ARFIS)":[32],"many":[34],"practical":[35],"applications.":[36],"Rough":[37],"set":[38,53,88,123],"theory":[39],"is":[40,68,98,131,167],"utilized":[41],"to":[42,49,133,150,181],"reduce":[43,134],"number":[45,136],"attributes":[47],"and":[48,77,85,106,148,179],"obtain":[50],"minimal":[52,122],"decision":[55,157],"rules":[56,78,138],"based":[57],"on":[58],"input-output":[59],"data":[60],"sets.":[61],"A":[62],"fuzzy":[65,81],"system":[67,97],"constructed":[69],"by":[70,79,101],"automatic":[72],"generation":[73],"membership":[75],"functions":[76],"c-means":[82],"clustering":[83],"algorithm":[84,111],"rough":[87],"approach,":[89],"respectively.":[90],"generated":[92,121],"then":[99],"adjusted":[100],"least":[103],"squares":[104],"fit":[105],"conjugate":[108],"gradient":[109],"descent":[110],"towards":[112],"better":[113],"performance":[114,160],"with":[115,169],"validity":[117,153],"checking":[118],"rules.":[125,158],"proposed":[127,163],"ARFIS":[130,166],"able":[132],"which":[139],"increases":[140],"exponentially":[141],"when":[142],"more":[143],"input":[144],"variables":[145],"are":[146],"involved":[147],"also":[149],"assess":[151],"minimized":[156],"compared":[168],"other":[170],"existing":[171],"approaches":[172],"application":[177],"shown":[180],"be":[182],"very":[183],"competitive.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}