{"id":"https://openalex.org/W4200083093","doi":"https://doi.org/10.1155/2021/9485654","title":"Design and Implementation of Intelligent Educational Administration System Using Fuzzy Clustering Algorithm","display_name":"Design and Implementation of Intelligent Educational Administration System Using Fuzzy Clustering Algorithm","publication_year":2021,"publication_date":"2021-12-29","ids":{"openalex":"https://openalex.org/W4200083093","doi":"https://doi.org/10.1155/2021/9485654"},"language":"en","primary_location":{"id":"doi:10.1155/2021/9485654","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9485654","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/9485654.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/9485654.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100453118","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0003-2412-9768"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Scientific Research Department, Xijing University, Xi\u2019an, Shaanxi 710123, China"],"affiliations":[{"raw_affiliation_string":"Scientific Research Department, Xijing University, Xi\u2019an, Shaanxi 710123, China","institution_ids":["https://openalex.org/I4210162994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100453118"],"corresponding_institution_ids":["https://openalex.org/I4210162994"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":4.1312,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94537226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.9825999736785889,"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/T13647","display_name":"AI and Big Data Applications","score":0.9825999736785889,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9761999845504761,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.9391000270843506,"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/computer-science","display_name":"Computer science","score":0.7371285557746887},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6147653460502625},{"id":"https://openalex.org/keywords/attendance","display_name":"Attendance","score":0.5370115041732788},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5232875943183899},{"id":"https://openalex.org/keywords/educational-administration","display_name":"Educational administration","score":0.5101366639137268},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5097841620445251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.481008380651474},{"id":"https://openalex.org/keywords/management-system","display_name":"Management system","score":0.4782078266143799},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.477670282125473},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.446113646030426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.379250168800354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3303205966949463},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.11927679181098938},{"id":"https://openalex.org/keywords/higher-education","display_name":"Higher education","score":0.11053875088691711},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11021921038627625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371285557746887},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6147653460502625},{"id":"https://openalex.org/C2778173179","wikidata":"https://www.wikidata.org/wiki/Q25339289","display_name":"Attendance","level":2,"score":0.5370115041732788},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5232875943183899},{"id":"https://openalex.org/C2994608149","wikidata":"https://www.wikidata.org/wiki/Q4671162","display_name":"Educational administration","level":3,"score":0.5101366639137268},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5097841620445251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.481008380651474},{"id":"https://openalex.org/C198783460","wikidata":"https://www.wikidata.org/wiki/Q629173","display_name":"Management system","level":2,"score":0.4782078266143799},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.477670282125473},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.446113646030426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.379250168800354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3303205966949463},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.11927679181098938},{"id":"https://openalex.org/C120912362","wikidata":"https://www.wikidata.org/wiki/Q136822","display_name":"Higher education","level":2,"score":0.11053875088691711},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11021921038627625},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/9485654","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9485654","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/9485654.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:effd7354aa3d4d48b23f64e1d0c64046","is_oa":true,"landing_page_url":"https://doaj.org/article/effd7354aa3d4d48b23f64e1d0c64046","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/9485654","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/9485654","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/9485654.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200083093.pdf","grobid_xml":"https://content.openalex.org/works/W4200083093.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1989793585","https://openalex.org/W2766767083","https://openalex.org/W2802697544","https://openalex.org/W2950269262","https://openalex.org/W2953856123","https://openalex.org/W2953888037","https://openalex.org/W2995006154","https://openalex.org/W2998052431","https://openalex.org/W2999563728","https://openalex.org/W3003805783","https://openalex.org/W3006603117","https://openalex.org/W3035736295","https://openalex.org/W3039373883","https://openalex.org/W3080717748","https://openalex.org/W3094097298","https://openalex.org/W3094491036","https://openalex.org/W3112176512","https://openalex.org/W3134765347","https://openalex.org/W3161563518","https://openalex.org/W3165295527","https://openalex.org/W3175993996","https://openalex.org/W4247555955"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W4390608645","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4247566972","https://openalex.org/W4248336175","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351"],"abstract_inverted_index":{"The":[0,44,62,124,189,213,254],"present":[1],"work":[2,45,63],"aims":[3],"to":[4,74,136,162,225,258],"solve":[5],"the":[6,9,25,68,83,85,93,106,113,116,128,155,167,171,175,200,226,270],"problems":[7],"that":[8,127,185],"traditional":[10],"educational":[11,71,78,209,217,266,276],"administration":[12,72,79,210,218,267],"management":[13,73,80,211,219,229],"system":[14,94,117,220],"has,":[15],"such":[16,141],"as":[17,110,142],"low":[18,29],"efficiency":[19],"in":[20,38,90,102,131,208,223,275],"analyzing":[21],"big":[22,39],"data,":[23],"and":[24,42,58,96,151,195,241,268],"analysis":[26,41,240],"results":[27],"have":[28],"value,":[30],"which":[31],"is":[32,88,118,133,180,196,221,257],"based":[33,53],"on":[34,54],"manual":[35],"rules":[36],"definition":[37],"data":[40,248],"processing.":[43],"proposes":[46],"a":[47],"student":[48],"achievement":[49,130],"prediction":[50,109,172,193,201,239],"model":[51,87,177,190],"FCM-CF":[52,86,176],"Fuzzy":[55],"C-means":[56],"(FCM)":[57],"Collaborative":[59],"Filtering":[60],"(CF).":[61],"also":[64,232],"introduces":[65],"it":[66,231],"into":[67],"research":[69,255],"of":[70,115,158,174,184,186,202,215,272],"construct":[75],"an":[76,111],"intelligent":[77,216,265],"system.":[81,212],"At":[82],"beginning,":[84],"described":[89,101],"detail.":[91,103],"Then,":[92],"requirements":[95],"specific":[97],"design":[98],"methods":[99],"are":[100,160],"Eventually,":[104],"with":[105],"students\u2019":[107,129,205,237],"performance":[108,114,140,194,238],"example,":[112],"tested":[119],"by":[120],"designed":[121],"simulation":[122],"experiments.":[123],"result":[125],"shows":[126],"study":[132,139],"closely":[134],"related":[135],"their":[137,163],"daily":[138,164],"preparation":[143],"before":[144],"class,":[145],"classroom":[146],"performance,":[147],"attendance,":[148],"extracurricular":[149],"study,":[150],"homework":[152],"completion.":[153],"Generally,":[154],"examination":[156,206],"scores":[157,207],"students":[159],"significant":[161],"performances.":[165],"Under":[166],"same":[168],"experimental":[169],"conditions,":[170],"error":[173],"proposed":[178],"here":[179],"less":[181],"than":[182],"10.8%":[183],"other":[187,235],"algorithms.":[188],"has":[191,233],"better":[192],"more":[197,264],"suitable":[198],"for":[199,250,263],"middle":[203],"school":[204],"innovation":[214],"that,":[222],"addition":[224],"basic":[227],"information":[228],"function,":[230],"two":[234],"functions:":[236],"teacher":[242],"evaluation":[243],"prediction.":[244],"It":[245],"can":[246],"provide":[247,259],"support":[249,262],"improving":[251],"teaching":[252],"quality.":[253],"purpose":[256],"important":[260],"technical":[261],"reduce":[269],"loss":[271],"human":[273],"resources":[274],"administration.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
