{"id":"https://openalex.org/W2137950906","doi":"https://doi.org/10.1109/fuzzy.2009.5277348","title":"Extended T-S fuzzy model based on interval arithmetic and its application to interval nonlinear regression analysis","display_name":"Extended T-S fuzzy model based on interval arithmetic and its application to interval nonlinear regression analysis","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2137950906","doi":"https://doi.org/10.1109/fuzzy.2009.5277348","mag":"2137950906"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2009.5277348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","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/A5100520551","display_name":"Sun Changping","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sun Changping","raw_affiliation_strings":["University of Science and Technology, Beijing, China","Key Laboratory of Advanced Control for Iron and Steel Process(University of Scinece and Technology Beijing), Ministry of Education, University of Science and Technology Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Key Laboratory of Advanced Control for Iron and Steel Process(University of Scinece and Technology Beijing), Ministry of Education, University of Science and Technology Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027111642","display_name":"Zhengguang Xu","orcid":"https://orcid.org/0000-0002-3790-018X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhengguang","raw_affiliation_strings":["University of Science and Technology, Beijing, China","Key Laboratory of Advanced Control for Iron and Steel Process(University of Scinece and Technology Beijing), Ministry of Education, University of Science and Technology Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Key Laboratory of Advanced Control for Iron and Steel Process(University of Scinece and Technology Beijing), Ministry of Education, University of Science and Technology Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100520551"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.5654,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71464958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1773","last_page":"1778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9983000159263611,"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":0.9970999956130981,"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/interval","display_name":"Interval (graph theory)","score":0.7915821075439453},{"id":"https://openalex.org/keywords/interval-arithmetic","display_name":"Interval arithmetic","score":0.7075724601745605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6384137868881226},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5506640076637268},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5085991621017456},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.48365557193756104},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.44003307819366455},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4385243058204651},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37711673974990845},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.337515652179718},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3276941776275635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.301363468170166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23945215344429016},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08060157299041748},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.05457490682601929}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.7915821075439453},{"id":"https://openalex.org/C191252586","wikidata":"https://www.wikidata.org/wiki/Q1671453","display_name":"Interval arithmetic","level":3,"score":0.7075724601745605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6384137868881226},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5506640076637268},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5085991621017456},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.48365557193756104},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.44003307819366455},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4385243058204651},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37711673974990845},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.337515652179718},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3276941776275635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.301363468170166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23945215344429016},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08060157299041748},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.05457490682601929},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2009.5277348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W564030374","https://openalex.org/W2013021480","https://openalex.org/W2079325629","https://openalex.org/W2085276494","https://openalex.org/W2101404340","https://openalex.org/W2105234323","https://openalex.org/W2125858817","https://openalex.org/W2141485143","https://openalex.org/W2148062808","https://openalex.org/W2151715011","https://openalex.org/W2157623575","https://openalex.org/W2157781926","https://openalex.org/W2162706466","https://openalex.org/W2913642042","https://openalex.org/W4238919913","https://openalex.org/W6678456991"],"related_works":["https://openalex.org/W2520934858","https://openalex.org/W2990487117","https://openalex.org/W2012882356","https://openalex.org/W109635080","https://openalex.org/W2377262226","https://openalex.org/W4285295794","https://openalex.org/W2098412892","https://openalex.org/W2531534085","https://openalex.org/W2387705642","https://openalex.org/W2372016227"],"abstract_inverted_index":{"In":[0,57],"this":[1],"paper,":[2],"a":[3],"new":[4],"fuzzy":[5,12,30],"system":[6],"model":[7,13,31,41],"structure":[8],"-":[9],"interval":[10,19,23,45,55,81,89],"T-S":[11,29],"(ITSFM)":[14],"is":[15,25,78],"proposed.":[16],"Inspired":[17],"from":[18],"regression":[20,83],"analysis,":[21],"the":[22,33,39,48,51,61,65,68,71,75,98,103],"arithmetic":[24],"incorporated":[26],"with":[27,85],"classical":[28,72],"and":[32,88,100],"parameters":[34],"in":[35],"consequent":[36],"part":[37],"of":[38,50,70,102],"ITSFM":[40,53,59,77],"become":[42],"to":[43,80],"be":[44],"numbers.":[46,56],"Thus,":[47],"outputs":[49],"proposed":[52,76,104],"are":[54,64,93],"our":[58],"model,":[60],"membership":[62],"functions":[63],"same":[66],"as":[67],"ones":[69],"type.":[73],"Finally,":[74],"applied":[79],"nonlinear":[82],"analysis":[84],"crisp":[86],"inputs":[87],"outputs.":[90],"Experimental":[91],"results":[92],"then":[94],"presented":[95],"that":[96],"indicate":[97],"validity":[99],"applicability":[101],"ITSFM.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
