{"id":"https://openalex.org/W2164784709","doi":"https://doi.org/10.1109/fuzzy.2010.5584692","title":"A new method for weighted fuzzy interpolative reasoning based on weights-learning techniques","display_name":"A new method for weighted fuzzy interpolative reasoning based on weights-learning techniques","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2164784709","doi":"https://doi.org/10.1109/fuzzy.2010.5584692","mag":"2164784709"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"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/A5061831201","display_name":"Shyi\u2010Ming Chen","orcid":"https://orcid.org/0000-0001-8648-631X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shyi-Ming Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006771744","display_name":"Yu\u2010Chuan Chang","orcid":"https://orcid.org/0000-0002-5114-0930"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chuan Chang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061831201"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":2.7063,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9128797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9973999857902527,"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":0.9973999857902527,"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":0.9740999937057495,"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/T14025","display_name":"Educational Technology and Assessment","score":0.949400007724762,"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/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.6159452199935913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5795475244522095},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5536028742790222},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.5222079157829285},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.49878573417663574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.475538969039917},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.47453534603118896},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.44955429434776306},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.44168925285339355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4351700246334076},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.42547374963760376},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.35340750217437744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3502264618873596}],"concepts":[{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.6159452199935913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5795475244522095},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5536028742790222},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.5222079157829285},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.49878573417663574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.475538969039917},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.47453534603118896},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.44955429434776306},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.44168925285339355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4351700246334076},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.42547374963760376},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.35340750217437744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3502264618873596},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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":18,"referenced_works":["https://openalex.org/W2000859003","https://openalex.org/W2009443815","https://openalex.org/W2013198395","https://openalex.org/W2027173927","https://openalex.org/W2068954680","https://openalex.org/W2103127765","https://openalex.org/W2112486431","https://openalex.org/W2117496317","https://openalex.org/W2122475393","https://openalex.org/W2122659777","https://openalex.org/W2130902926","https://openalex.org/W2136760654","https://openalex.org/W2149002934","https://openalex.org/W2152695669","https://openalex.org/W2152807850","https://openalex.org/W2156715830","https://openalex.org/W2159757382","https://openalex.org/W2171718769"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W1976608231","https://openalex.org/W2024822381","https://openalex.org/W2118406295","https://openalex.org/W2062917877","https://openalex.org/W1980652001","https://openalex.org/W1988589234","https://openalex.org/W1517786254"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,31],"weighted":[4,51,60],"fuzzy":[5,11,22,46,52,61,85],"interpolative":[6,53,62,86],"reasoning":[7,54,63,87],"method":[8,64,88],"for":[9,48],"sparse":[10],"rule-based":[12],"systems":[13],"which":[14],"allows":[15],"the":[16,21,37,41,45,49,58,66,73,83,90,95,106],"antecedent":[17,42],"variables":[18,43],"appearing":[19],"in":[20],"rules":[23,47],"to":[24,34,70],"have":[25],"different":[26],"weights.":[27],"We":[28,56],"also":[29],"present":[30],"weights-learning":[32,68,97],"algorithm":[33,69,98],"automatically":[35],"learn":[36],"optimal":[38],"weights":[39,93],"of":[40,44],"proposed":[50,59,67,84,96],"method.":[55],"apply":[57],"and":[65],"deal":[71],"with":[72],"truck":[74,101],"backer-upper":[75,102],"control":[76,103],"problem.":[77],"The":[78],"experimental":[79],"results":[80,104],"show":[81],"that":[82],"using":[89],"optimally":[91],"learned":[92],"by":[94],"gets":[99],"better":[100],"than":[105],"existing":[107],"methods.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}