{"id":"https://openalex.org/W2180883366","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7338040","title":"On regression methods based on linguistic descriptions","display_name":"On regression methods based on linguistic descriptions","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2180883366","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7338040","mag":"2180883366"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7338040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7338040","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/A5079024472","display_name":"Ji\u0159\u00ed Kupka","orcid":"https://orcid.org/0000-0001-5940-0576"},"institutions":[{"id":"https://openalex.org/I187293425","display_name":"University of Ostrava","ror":"https://ror.org/00pyqav47","country_code":"CZ","type":"education","lineage":["https://openalex.org/I187293425"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jiri Kupka","raw_affiliation_strings":["Institute for Research and Applications of Fuzzy Modeling Centre of Excellence IT4Innovations University of Ostrava 30, Ostrava, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Institute for Research and Applications of Fuzzy Modeling Centre of Excellence IT4Innovations University of Ostrava 30, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I187293425"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073628300","display_name":"Pavel Rusnok","orcid":"https://orcid.org/0000-0002-1906-5336"},"institutions":[{"id":"https://openalex.org/I187293425","display_name":"University of Ostrava","ror":"https://ror.org/00pyqav47","country_code":"CZ","type":"education","lineage":["https://openalex.org/I187293425"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Rusnok","raw_affiliation_strings":["Institute for Research and Applications of Fuzzy Modeling Centre of Excellence IT4Innovations University of Ostrava 30, Ostrava, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Institute for Research and Applications of Fuzzy Modeling Centre of Excellence IT4Innovations University of Ostrava 30, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I187293425"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079024472"],"corresponding_institution_ids":["https://openalex.org/I187293425"],"apc_list":null,"apc_paid":null,"fwci":0.701,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74100435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.995199978351593,"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":0.995199978351593,"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":0.9944999814033508,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/interpretability","display_name":"Interpretability","score":0.9286956191062927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7134819030761719},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6664397716522217},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.618534505367279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5704813599586487},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5471562147140503},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.45393550395965576},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4507864713668823},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4501384496688843},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4355141818523407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32488998770713806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2018442451953888},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1654505729675293},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10955578088760376}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9286956191062927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134819030761719},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6664397716522217},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.618534505367279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5704813599586487},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5471562147140503},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.45393550395965576},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4507864713668823},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4501384496688843},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4355141818523407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32488998770713806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2018442451953888},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1654505729675293},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10955578088760376},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7338040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7338040","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":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W426455260","https://openalex.org/W1205559886","https://openalex.org/W1557894356","https://openalex.org/W1570448133","https://openalex.org/W1969885422","https://openalex.org/W1980871775","https://openalex.org/W1987605703","https://openalex.org/W2007290829","https://openalex.org/W2008675185","https://openalex.org/W2018605192","https://openalex.org/W2019979668","https://openalex.org/W2047813642","https://openalex.org/W2061933243","https://openalex.org/W2064769840","https://openalex.org/W2069593643","https://openalex.org/W2079310233","https://openalex.org/W2087563533","https://openalex.org/W2129027474","https://openalex.org/W2136298054","https://openalex.org/W2166559705","https://openalex.org/W2301363727","https://openalex.org/W2303394219","https://openalex.org/W2582743722","https://openalex.org/W3120740533","https://openalex.org/W4207028450"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"The":[0,14],"prediction":[1,104],"precision":[2,105],"of":[3,16,19,21,66,75,117],"mathematical":[4,34,70],"models":[5,62],"and":[6,55,111],"their":[7],"interpretability":[8,116],"go":[9],"usually":[10],"against":[11],"each":[12],"other.":[13,26],"increase":[15,102],"the":[17,22,25,58,73,85,103,115,118],"quality":[18],"one":[20],"features":[23],"decreases":[24],"In":[27,95],"this":[28],"article":[29],"we":[30,98],"introduce":[31],"a":[32],"new":[33],"model":[35,71],"based":[36,51,106],"on":[37,52,107],"Perception-based":[38,108],"Logical":[39,109],"Deduction":[40,110],"(see":[41],"[18],":[42],"[19])":[43],"which":[44,56,89],"is":[45],"an":[46],"implicative":[47],"fuzzy":[48],"inference":[49,76],"mechanism":[50,77],"linguistics":[53],"semantics,":[54,88],"enables":[57],"users":[59],"to":[60,101,113],"create":[61],"described":[63],"with":[64],"expressions":[65],"natural":[67],"language.":[68],"Our":[69],"increases":[72],"accuracy":[74],"used":[78],"in":[79],"regression":[80],"analysis":[81],"while":[82],"it":[83],"maintains":[84],"underlying":[86],"linguistic":[87],"are":[90],"crucial":[91],"for":[92],"human-computer":[93],"interaction.":[94],"other":[96],"words,":[97],"have":[99],"managed":[100],"not":[112],"decrease":[114],"system.":[119]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}