{"id":"https://openalex.org/W4404449385","doi":"https://doi.org/10.55421/1998-7072_2024_27_9_115","title":"NEURO-FUZZY CLASSIFIER FOR STUDENTS' KNOWLEDGE LEVEL ASSESSING","display_name":"NEURO-FUZZY CLASSIFIER FOR STUDENTS' KNOWLEDGE LEVEL ASSESSING","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404449385","doi":"https://doi.org/10.55421/1998-7072_2024_27_9_115"},"language":"en","primary_location":{"id":"doi:10.55421/1998-7072_2024_27_9_115","doi":"https://doi.org/10.55421/1998-7072_2024_27_9_115","is_oa":false,"landing_page_url":"http://dx.doi.org/10.55421/1998-7072_2024_27_9_115","pdf_url":null,"source":{"id":"https://openalex.org/S4220651613","display_name":"Herald of Technological University","issn_l":"1998-7072","issn":["1998-7072","3033-9219","3034-4689"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Herald of Technological University","raw_type":"journal-article"},"volume":null,"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/A5064054924","display_name":"Alexey Sergeevich Katasev","orcid":"https://orcid.org/0000-0002-9446-0491","observed_orcids":["https://orcid.org/0000-0002-9446-0491"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A.S. KATASEV","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051985819","display_name":"Dina Vladimirovna Kataseva","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D.V. KATASEVA","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592587","display_name":"YU.N. SMIRNOV","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"YU.N. SMIRNOV","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"V.L. VASIL'EV","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V.L. VASIL'EV","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20683053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"9","first_page":"115","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.5669000148773193,"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"}},"topics":[{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.5669000148773193,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.17159999907016754,"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/T13559","display_name":"Edcuational Technology Systems","score":0.10000000149011612,"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/neuro-fuzzy-classifier","display_name":"neuro-fuzzy classifier","score":0.9950000047683716},{"id":"https://openalex.org/keywords/student-knowledge-assessment","display_name":"student knowledge assessment","score":0.7490000128746033},{"id":"https://openalex.org/keywords/fuzzy-neural-network","display_name":"fuzzy neural network","score":0.8399999737739563},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"adaptive neuro-fuzzy inference system","score":0.9929999709129333},{"id":"https://openalex.org/keywords/membership-functions","display_name":"membership functions","score":0.6510000228881836},{"id":"https://openalex.org/keywords/backpropagation","display_name":"backpropagation","score":0.6140000224113464},{"id":"https://openalex.org/keywords/fuzzy-inference-system","display_name":"fuzzy inference system","score":0.6859999895095825},{"id":"https://openalex.org/keywords/educational-data-mining","display_name":"educational data mining","score":0.6010000109672546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5541151762008667},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5415833592414856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5053818821907043},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47583723068237305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40878188610076904},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.3510587811470032},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28073614835739136}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.55421/1998-7072_2024_27_9_115","doi":"https://doi.org/10.55421/1998-7072_2024_27_9_115","is_oa":false,"landing_page_url":"http://dx.doi.org/10.55421/1998-7072_2024_27_9_115","pdf_url":null,"source":{"id":"https://openalex.org/S4220651613","display_name":"Herald of Technological University","issn_l":"1998-7072","issn":["1998-7072","3033-9219","3034-4689"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Herald of Technological University","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","score":0.8278999924659729,"id":"https://metadata.un.org/sdg/4"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0,130],"article":[1],"is":[2,102,111],"devoted":[3],"to":[4,68,132,236,279,400],"the":[5,8,17,42,70,82,89,100,105,118,133,143,178,189,201,205,237,254,262,273,284,287,296,301,310,317,320,325,335,339,344,347,355,380,397,402],"solution":[6],"of":[7,10,19,44,72,97,107,120,149,168,191,230,253,258,261,272,295,300,309,319,324,334,346,354,368],"problem":[9],"constructing":[11],"a":[12,63,146,198,228,244],"neuro-fuzzy":[13,64,199,245,321,356,382],"classifier":[14,65],"for":[15,25,52,80,109,117,159],"assessing":[16,26,388],"level":[18,71,119],"students'":[20,73,121,389],"knowledge.":[21,74],"Currently,":[22],"intelligent":[23],"systems":[24,32],"complex":[27],"technical,":[28],"biophysical":[29],"and":[30,37,50,104,128,140,155,161,170,185,193,223,264,327,360,376,391],"socio-economic":[31],"have":[33],"undergone":[34],"rapid":[35],"development":[36],"are":[38,115],"often":[39],"based":[40,56],"on":[41,57,338],"use":[43],"neural":[45,84,248,371],"networks,":[46],"fuzzy":[47,83,212,221,233,247],"logic":[48],"methods":[49,367],"procedures":[51],"forming":[53],"rule":[54],"bases":[55],"data":[58,150,179,341,369],"analysis.":[59],"In":[60,142],"this":[61],"work,":[62],"was":[66,86,209,281,342,358,361],"used":[67,395],"assess":[69,316],"The":[75,95,211,269,332,352],"User":[76],"Knowledge":[77],"Modeling":[78],"dataset":[79,101],"training":[81,184,255,290],"network":[85],"obtained":[87],"from":[88,204],"open":[90],"source":[91],"Machine":[92],"Learning":[93],"Repository.":[94],"number":[96,106],"copies":[98],"in":[99,188,283,387,396],"403,":[103],"attributes":[108],"classification":[110],"5.":[112],"Four":[113],"gradations":[114,222],"distinguished":[116],"knowledge":[122,390],"-":[123,292,304,313,350],"very":[124],"low,":[125,126],"medium":[127],"high.":[129],"corresponds":[131],"Russian":[134],"assessment":[135],"system:":[136],"unsatisfactory,":[137],"satisfactory,":[138],"good":[139],"excellent.":[141],"Deductor":[144],"environment,":[145],"preliminary":[147],"analysis":[148,167],"quality,":[151],"work":[152],"with":[153,219,250,286],"outliers":[154],"extreme":[156],"values,":[157],"checking":[158],"duplicates":[160],"contradictions,":[162],"as":[163,165],"well":[164],"correlation":[166],"input":[169,217,263,302],"output":[171,225,265,311],"parameters":[172,266],"were":[173,180,240,267,330],"carried":[174],"out.":[175],"After":[176],"processing,":[177],"randomly":[181],"divided":[182],"into":[183],"test":[186,340],"samples":[187],"ratio":[190],"70%":[192],"30%,":[194],"respectively.":[195],"To":[196,315],"build":[197],"model,":[200,322],"ANFIS":[202],"editor":[203],"MATLAB":[206],"application":[207],"package":[208],"used.":[210,268],"inference":[213],"system":[214],"contained":[215],"5":[216],"variables":[218,303],"3":[220],"1":[224],"variable.":[226],"As":[227],"result":[229],"training,":[231],"128":[232],"rules":[234],"corresponding":[235],"model":[238,285,357,383],"structure":[239],"formed.":[241],"When":[242],"building":[243],"classifier,":[246],"networks":[249],"various":[251],"combinations":[252],"method,":[256],"type":[257],"membership":[259,298,307],"function":[260,299,308],"lowest":[270],"value":[271],"root":[274],"mean":[275],"square":[276],"error,":[277,297],"equal":[278],"0.16,":[280],"achieved":[282],"following":[288],"parameters:":[289],"method":[291],"back":[293],"propagation":[294],"double":[305],"Gaussian,":[306],"variable":[312],"constant.":[314],"adequacy":[318],"errors":[323],"first":[326,336],"second":[328,348],"kind":[329,337,349],"calculated.":[331],"error":[333,345],"0%,":[343],"4.6%.":[351],"accuracy":[353,386],"95.6%":[359],"higher":[362],"than":[363],"when":[364],"using":[365],"other":[366],"mining:":[370],"network,":[372],"decision":[373],"tree,":[374],"linear":[375],"logistic":[377],"regression.":[378],"Thus,":[379],"constructed":[381],"showed":[384],"high":[385],"can":[392],"be":[393],"effectively":[394],"educational":[398],"process":[399],"solve":[401],"task.":[403]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2024-11-17T00:00:00"}
