{"id":"https://openalex.org/W2176406163","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337857","title":"An application of F-transform to a regression model based on Theil's method","display_name":"An application of F-transform to a regression model based on Theil's method","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2176406163","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337857","mag":"2176406163"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7337857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5100347335","display_name":"Jin Hee Yoon","orcid":"https://orcid.org/0000-0002-1437-1350"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jin Hee Yoon","raw_affiliation_strings":["School of Mathematics and Statistics, Sejong University, Gwangjin-gu, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Sejong University, Gwangjin-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079482972","display_name":"Hye-Young Jung","orcid":"https://orcid.org/0000-0003-0569-370X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hye-Young Jung","raw_affiliation_strings":["Department of Statistics, Seoul National University, Gwanak-gu, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University, Gwanak-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086518490","display_name":"Seung Hoe Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I24456540","display_name":"Korea Aerospace University","ror":"https://ror.org/05jmm0651","country_code":"KR","type":"education","lineage":["https://openalex.org/I24456540"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung Hoe Choi","raw_affiliation_strings":["School of Liberal Arts and Science, Korea Aerospace University, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Liberal Arts and Science, Korea Aerospace University, South Korea","institution_ids":["https://openalex.org/I24456540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023457389","display_name":"Woojoo Lee","orcid":"https://orcid.org/0000-0001-5736-4583"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo-Joo Lee","raw_affiliation_strings":["Department of Mathematics, Yonsei University, Seodaemun-gu, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Yonsei University, Seodaemun-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100347335"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":null,"apc_paid":null,"fwci":0.701,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74044418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9970999956130981,"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":0.9970999956130981,"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/T11727","display_name":"Advanced Algebra and Logic","score":0.9965000152587891,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5386410355567932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4990723133087158},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4982419013977051},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4023253917694092},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3470481336116791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.327873170375824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30204981565475464}],"concepts":[{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5386410355567932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4990723133087158},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4982419013977051},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4023253917694092},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3470481336116791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.327873170375824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30204981565475464}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7337857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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":14,"referenced_works":["https://openalex.org/W1606994608","https://openalex.org/W1779078860","https://openalex.org/W1970598138","https://openalex.org/W2036686306","https://openalex.org/W2075594316","https://openalex.org/W2077134345","https://openalex.org/W2087435110","https://openalex.org/W2088548589","https://openalex.org/W2091011578","https://openalex.org/W2092376312","https://openalex.org/W2094175511","https://openalex.org/W2294163161","https://openalex.org/W2799701298","https://openalex.org/W6638040971"],"related_works":["https://openalex.org/W4381136829","https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"Regression":[0],"Analysis":[1],"is":[2,41,48,87,102],"an":[3],"analyzing":[4],"method":[5,29,38,55,98],"of":[6,36,59,61,72,81],"regression":[7,25,40,83,94],"model":[8],"to":[9,51,77,89],"explain":[10],"the":[11,42,57,79,92,106,116],"statistical":[12],"relationship":[13],"between":[14],"explanatory":[15],"variables":[16],"and":[17,111],"response":[18],"variables.":[19],"This":[20],"paper":[21],"propose":[22],"a":[23],"new":[24],"analysis":[26,95],"applying":[27,96],"Theil's":[28,37,97,118],"based":[30,68,99],"on":[31,100],"F-transform.":[32],"The":[33,53],"main":[34],"advantage":[35],"in":[39,75],"robustness,":[43],"which":[44,63],"means":[45],"that":[46,91],"it":[47],"not":[49],"sensitive":[50],"outliers.":[52],"proposed":[54,93],"uses":[56],"median":[58],"rates":[60],"increments":[62],"are":[64],"obtained":[65],"from":[66],"F-transform,":[67],"all":[69],"possible":[70],"pairs":[71],"F-transformed":[73],"data":[74],"order":[76],"estimate":[78],"coefficients":[80],"fuzzy":[82],"model.":[84],"An":[85],"example":[86],"given":[88],"show":[90],"F-transform":[101],"more":[103,113],"robust":[104,114],"than":[105,115],"least":[107],"squares":[108],"estimation":[109],"(LSE)":[110],"even":[112],"original":[117],"method.":[119]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}