{"id":"https://openalex.org/W4388125277","doi":"https://doi.org/10.1109/tnnls.2023.3326376","title":"The Q-Fractionalism Reasoning Learning Method","display_name":"The Q-Fractionalism Reasoning Learning Method","publication_year":2023,"publication_date":"2023-11-01","ids":{"openalex":"https://openalex.org/W4388125277","doi":"https://doi.org/10.1109/tnnls.2023.3326376","pmid":"https://pubmed.ncbi.nlm.nih.gov/37910416"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3326376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3326376","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5052638914","display_name":"Mehran Mazandarani","orcid":"https://orcid.org/0000-0003-3116-3841"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mehran Mazandarani","raw_affiliation_strings":["Department of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065058501","display_name":"Jianfei Pan","orcid":"https://orcid.org/0000-0002-3665-6672"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Jianfei","raw_affiliation_strings":["Department of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052638914"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.1746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57173006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"36","issue":"1","first_page":"1568","last_page":"1582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9984999895095825,"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":0.9984999895095825,"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/T11081","display_name":"Advanced Control Systems Design","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9537000060081482,"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/unobservable","display_name":"Unobservable","score":0.797463059425354},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.600226104259491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5545600056648254},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5167959928512573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4790983498096466},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4526800513267517},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4300835430622101},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4159035086631775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3398417532444}],"concepts":[{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.797463059425354},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.600226104259491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5545600056648254},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5167959928512573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4790983498096466},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4526800513267517},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4300835430622101},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4159035086631775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3398417532444},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3326376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3326376","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37910416","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37910416","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5298296990","display_name":null,"funder_award_id":"U1913214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7565196114","display_name":null,"funder_award_id":"52277060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1551593752","https://openalex.org/W2095292012","https://openalex.org/W2142196876","https://openalex.org/W2151012394","https://openalex.org/W2157041604","https://openalex.org/W2305205647","https://openalex.org/W2530520848","https://openalex.org/W2580890888","https://openalex.org/W2784092749","https://openalex.org/W2922988740","https://openalex.org/W2963795407","https://openalex.org/W2980955189","https://openalex.org/W3008245761","https://openalex.org/W3018522068","https://openalex.org/W3018779742","https://openalex.org/W3030194393","https://openalex.org/W3041019663","https://openalex.org/W3091182627","https://openalex.org/W3112987887","https://openalex.org/W3147141755","https://openalex.org/W3176664361","https://openalex.org/W3205502274","https://openalex.org/W3205613298","https://openalex.org/W3207732664","https://openalex.org/W4214891770","https://openalex.org/W4221003856","https://openalex.org/W4223524948","https://openalex.org/W4282921508","https://openalex.org/W4288061894","https://openalex.org/W4289538237","https://openalex.org/W4308475787","https://openalex.org/W4322576626","https://openalex.org/W4323358415","https://openalex.org/W4366246010"],"related_works":["https://openalex.org/W2614563012","https://openalex.org/W4293337373","https://openalex.org/W1968533609","https://openalex.org/W2486803649","https://openalex.org/W1984270607","https://openalex.org/W2151842462","https://openalex.org/W2349333549","https://openalex.org/W2116445905","https://openalex.org/W3140685204","https://openalex.org/W2385713529"],"abstract_inverted_index":{"As":[0],"the":[1,13,27,38,44,59,72,78,84,106,111,118,130,155,159,162,166,171,182,185,197],"title":[2],"suggests,":[3],"in":[4,122,165,181],"this":[5],"work,":[6],"a":[7,24,55,144,149,175,190],"modern":[8],"machine":[9],"learning":[10],"method":[11,20,69],"called":[12],"Q-fractionalism":[14,39,163],"reasoning":[15,40,56,164],"is":[16,21],"introduced.":[17],"The":[18,96],"proposed":[19],"founded":[22],"upon":[23],"synergy":[25],"of":[26,80,113,141,161,170,178,184],"Q-learning":[28],"and":[29,92,102],"fractional":[30,60],"fuzzy":[31,94,98,115,124,137,192],"inference":[32,193],"systems":[33],"(FFISs).":[34],"Unlike":[35],"other":[36],"approaches,":[37],"not":[41],"only":[42],"incorporates":[43],"knowledge":[45,119],"base":[46,120],"to":[47,50,62,134,174],"understand":[48],"how":[49],"perform":[51],"but":[52],"also":[53],"explores":[54],"mechanism":[57],"from":[58],"order":[61],"justify":[63],"what":[64],"it":[65,133],"has":[66],"performed.":[67],"This":[68],"suggests":[70],"that":[71,158],"agent":[73,85,107],"choose":[74],"actions":[75],"aimed":[76],"at":[77],"characterization":[79],"reasoning.":[81],"In":[82],"fact,":[83],"deals":[86],"with":[87,139,189],"states":[88,99,116,138],"termed":[89],"as":[90],"primary":[91,97,114,136],"secondary":[93,123],"states.":[95],"are":[100,127],"unobservable":[101],"uncertain,":[103],"for":[104],"which":[105,126],"chooses":[108],"actions.":[109],"However,":[110],"projection":[112],"onto":[117],"results":[121,156],"states,":[125],"observable":[128],"by":[129],"agent,":[131],"allowing":[132],"detect":[135],"degrees":[140],"detectability.":[142],"With":[143],"practical":[145],"experiment":[146],"implemented":[147],"on":[148],"linear":[150],"switched":[151],"reluctance":[152],"motor":[153],"(LSRM),":[154],"demonstrate":[157],"application":[160],"real-time":[167],"position":[168],"control":[169,186],"LSRM":[172],"leads":[173],"remarkable":[176],"improvement":[177],"about":[179],"70%":[180],"accuracy":[183],"objective":[187],"compared":[188],"typical":[191],"system":[194],"(FIS)":[195],"under":[196],"same":[198],"setting.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
