{"id":"https://openalex.org/W2098452332","doi":"https://doi.org/10.1109/tfuzz.2010.2081994","title":"Systems Control With Generalized Probabilistic Fuzzy-Reinforcement Learning","display_name":"Systems Control With Generalized Probabilistic Fuzzy-Reinforcement Learning","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2098452332","doi":"https://doi.org/10.1109/tfuzz.2010.2081994","mag":"2098452332"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2010.2081994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2010.2081994","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.tue.nl/en/publications/81e43001-610e-45e6-a903-b0626c5036de","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004183955","display_name":"William M. Hinojosa","orcid":null},"institutions":[{"id":"https://openalex.org/I54459138","display_name":"University of Salford","ror":"https://ror.org/01tmqtf75","country_code":"GB","type":"education","lineage":["https://openalex.org/I54459138"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"William M. Hinojosa","raw_affiliation_strings":["Robotics and Automation Laboratory, University of Sanford, Greater Manchester, UK","Robot. & Autom. Lab., Univ. of Salford, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"Robotics and Automation Laboratory, University of Sanford, Greater Manchester, UK","institution_ids":[]},{"raw_affiliation_string":"Robot. & Autom. Lab., Univ. of Salford, Manchester, UK","institution_ids":["https://openalex.org/I54459138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008418736","display_name":"Samia Nefti\u2010Meziani","orcid":"https://orcid.org/0000-0001-6500-2929"},"institutions":[{"id":"https://openalex.org/I54459138","display_name":"University of Salford","ror":"https://ror.org/01tmqtf75","country_code":"GB","type":"education","lineage":["https://openalex.org/I54459138"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Samia Nefti","raw_affiliation_strings":["School of Computing Science and Engineering, University of Sanford, Greater Manchester, UK","Sch. of Comput., Sci. & Eng., Univ. of Salford, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing Science and Engineering, University of Sanford, Greater Manchester, UK","institution_ids":[]},{"raw_affiliation_string":"Sch. of Comput., Sci. & Eng., Univ. of Salford, Manchester, UK","institution_ids":["https://openalex.org/I54459138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080242338","display_name":"Uzay Kaymak","orcid":"https://orcid.org/0000-0002-4500-9098"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Uzay Kaymak","raw_affiliation_strings":["Econometric Institute, Erasmus School of Economics, Erasmus University, Rotterdam, Netherlands","Erasmus School of Economics, Erasmus University, Rotterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Econometric Institute, Erasmus School of Economics, Erasmus University, Rotterdam, Netherlands","institution_ids":["https://openalex.org/I913958620"]},{"raw_affiliation_string":"Erasmus School of Economics, Erasmus University, Rotterdam, Netherlands","institution_ids":["https://openalex.org/I913958620"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004183955"],"corresponding_institution_ids":["https://openalex.org/I54459138"],"apc_list":null,"apc_paid":null,"fwci":4.6832,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95068323,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"1","first_page":"51","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9883000254631042,"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9883000254631042,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9843999743461609,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7251110076904297},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7012215852737427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6204075813293457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.555109977722168},{"id":"https://openalex.org/keywords/action-selection","display_name":"Action selection","score":0.5184216499328613},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.506278395652771},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4978678226470947},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48914220929145813},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4363459348678589},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3872080147266388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3720017671585083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3259074091911316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1857115924358368}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7251110076904297},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7012215852737427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6204075813293457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.555109977722168},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.5184216499328613},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.506278395652771},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4978678226470947},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48914220929145813},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4363459348678589},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3872080147266388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720017671585083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3259074091911316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1857115924358368},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tfuzz.2010.2081994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2010.2081994","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:pure.tue.nl:openaire/81e43001-610e-45e6-a903-b0626c5036de","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/81e43001-610e-45e6-a903-b0626c5036de","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hinojosa, J, Nefti, S & Kaymak, U 2011, 'Systems control with generalized probabilistic fuzzy-reinforcement learning', IEEE Transactions on Fuzzy Systems, vol. 19, no. 1, pp. 51-64. https://doi.org/10.1109/TFUZZ.2010.2081994","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:eur:oai:pure.eur.nl:publications/03277ac4-f0cb-48d9-9c5d-de2042c2024c","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/03277ac4-f0cb-48d9-9c5d-de2042c2024c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Fuzzy Systems, 19(1), 51 - 64. Institute of Electrical and Electronics Engineers Inc.","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:tue:oai:pure.tue.nl:publications/81e43001-610e-45e6-a903-b0626c5036de","is_oa":true,"landing_page_url":"https://research.tue.nl/nl/publications/81e43001-610e-45e6-a903-b0626c5036de","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Fuzzy Systems, 19(1), 51 - 64. Institute of Electrical and Electronics Engineers","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire/81e43001-610e-45e6-a903-b0626c5036de","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/81e43001-610e-45e6-a903-b0626c5036de","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hinojosa, J, Nefti, S & Kaymak, U 2011, 'Systems control with generalized probabilistic fuzzy-reinforcement learning', IEEE Transactions on Fuzzy Systems, vol. 19, no. 1, pp. 51-64. https://doi.org/10.1109/TFUZZ.2010.2081994","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W21026159","https://openalex.org/W1532688806","https://openalex.org/W1546185221","https://openalex.org/W1580495051","https://openalex.org/W1592813209","https://openalex.org/W1595061253","https://openalex.org/W1769711052","https://openalex.org/W1892081445","https://openalex.org/W1969191437","https://openalex.org/W1999938848","https://openalex.org/W2003578982","https://openalex.org/W2004283713","https://openalex.org/W2016514439","https://openalex.org/W2038475577","https://openalex.org/W2073258676","https://openalex.org/W2075268401","https://openalex.org/W2091565802","https://openalex.org/W2101984404","https://openalex.org/W2102295697","https://openalex.org/W2116753650","https://openalex.org/W2117160934","https://openalex.org/W2122245474","https://openalex.org/W2125858817","https://openalex.org/W2133986364","https://openalex.org/W2135877462","https://openalex.org/W2144801703","https://openalex.org/W2150459019","https://openalex.org/W2153741979","https://openalex.org/W2156060469","https://openalex.org/W2158316397","https://openalex.org/W2158446838","https://openalex.org/W2164056559","https://openalex.org/W2166777300","https://openalex.org/W2305205647","https://openalex.org/W2341171179","https://openalex.org/W2588399964","https://openalex.org/W4234184092","https://openalex.org/W6631864160","https://openalex.org/W6635604565","https://openalex.org/W6675641713","https://openalex.org/W6684199269"],"related_works":["https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2015051472","https://openalex.org/W2168501056","https://openalex.org/W2120009678","https://openalex.org/W2912947802","https://openalex.org/W2037601570","https://openalex.org/W2123856982","https://openalex.org/W1530089576"],"abstract_inverted_index":{"Reinforcement":[0],"learning":[1,6,105,108,120,147],"(RL)":[2],"is":[3,40,97,109,137],"a":[4,12,66,98,115],"valuable":[5],"method":[7,96],"when":[8],"the":[9,38,49,72,102,112,119,134],"systems":[10,35,77],"require":[11],"selection":[13],"of":[14,33,51,75,80,86,101,114],"control":[15],"actions":[16],"whose":[17],"consequences":[18,85],"emerge":[19],"over":[20,83],"long":[21],"periods":[22],"for":[23],"which":[24],"input-output":[25],"data":[26],"are":[27],"not":[28],"available.":[29],"In":[30,45,61],"most":[31],"combinations":[32],"fuzzy":[34,76,93],"and":[36,149],"RL,":[37],"environment":[39],"considered":[41],"to":[42,70],"be":[43,55],"deterministic.":[44],"many":[46],"problems,":[47],"however,":[48],"consequence":[50],"an":[52,87,123,145],"action":[53],"may":[54],"uncertain":[56],"or":[57],"stochastic":[58],"in":[59],"nature.":[60],"this":[62],"paper,":[63],"we":[64],"propose":[65],"novel":[67],"RL":[68,94],"approach":[69,136],"combine":[71],"universal-function-approximation":[73],"capability":[74],"with":[78],"consideration":[79],"probability":[81,116],"distributions":[82],"possible":[84],"action.":[88],"The":[89,107],"proposed":[90,135],"generalized":[91],"probabilistic":[92,140],"(GPFRL)":[95],"modified":[99],"version":[100],"actor-critic":[103],"(AC)":[104],"architecture.":[106],"enhanced":[110,146],"by":[111],"introduction":[113],"measure":[117],"into":[118],"structure,":[121],"where":[122],"incremental":[124],"gradient-descent":[125],"weight-updating":[126],"algorithm":[127],"provides":[128],"convergence.":[129],"Our":[130],"results":[131],"show":[132],"that":[133],"robust":[138],"under":[139],"uncertainty":[141],"while":[142],"also":[143],"having":[144],"speed":[148],"good":[150],"overall":[151],"performance.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
