{"id":"https://openalex.org/W4413188705","doi":"https://doi.org/10.3390/computers14080325","title":"An Integrated Intuitionistic Fuzzy-Clustering Approach for Missing Data Imputation","display_name":"An Integrated Intuitionistic Fuzzy-Clustering Approach for Missing Data Imputation","publication_year":2025,"publication_date":"2025-08-12","ids":{"openalex":"https://openalex.org/W4413188705","doi":"https://doi.org/10.3390/computers14080325"},"language":"en","primary_location":{"id":"doi:10.3390/computers14080325","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14080325","pdf_url":"https://www.mdpi.com/2073-431X/14/8/325/pdf?version=1755504102","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-431X/14/8/325/pdf?version=1755504102","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071421433","display_name":"Charl\u00e8ne B\u00e9atrice Bridge-Nduwimana","orcid":"https://orcid.org/0000-0002-4505-3224"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Charl\u00e8ne B\u00e9atrice Bridge-Nduwimana","raw_affiliation_strings":["Laboratory for Artificial Intelligence, Data Science and Emerging Systems, Fes National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez 30050, Morocco"],"affiliations":[{"raw_affiliation_string":"Laboratory for Artificial Intelligence, Data Science and Emerging Systems, Fes National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez 30050, Morocco","institution_ids":["https://openalex.org/I81605866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021802342","display_name":"Aziza El Ouaazizi","orcid":"https://orcid.org/0000-0002-7554-9300"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Aziza El Ouaazizi","raw_affiliation_strings":["Laboratory for Artificial Intelligence, Data Science and Emerging Systems, Fes National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez 30050, Morocco","Laboratory of Engineering Sciences, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza 35000, Morocco"],"affiliations":[{"raw_affiliation_string":"Laboratory for Artificial Intelligence, Data Science and Emerging Systems, Fes National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Fez 30050, Morocco","institution_ids":["https://openalex.org/I81605866"]},{"raw_affiliation_string":"Laboratory of Engineering Sciences, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza 35000, Morocco","institution_ids":["https://openalex.org/I81605866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065223940","display_name":"Majid Ben Yakhlef","orcid":"https://orcid.org/0000-0002-6696-9426"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Majid Benyakhlef","raw_affiliation_strings":["Laboratory of Engineering Sciences, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza 35000, Morocco"],"affiliations":[{"raw_affiliation_string":"Laboratory of Engineering Sciences, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza 35000, Morocco","institution_ids":["https://openalex.org/I81605866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021802342","https://openalex.org/A5065223940","https://openalex.org/A5071421433"],"corresponding_institution_ids":["https://openalex.org/I81605866"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11061957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"8","first_page":"325","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9962999820709229,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9962999820709229,"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/T11106","display_name":"Data Management and Algorithms","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9890000224113464,"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/imputation","display_name":"Imputation (statistics)","score":0.7284071445465088},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7028778791427612},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.532304048538208},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.528205931186676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5075985193252563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30502957105636597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1944650113582611}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7284071445465088},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7028778791427612},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.532304048538208},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.528205931186676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5075985193252563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30502957105636597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1944650113582611}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computers14080325","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14080325","pdf_url":"https://www.mdpi.com/2073-431X/14/8/325/pdf?version=1755504102","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f27f42c7933c417f8f6331bb2608238c","is_oa":true,"landing_page_url":"https://doaj.org/article/f27f42c7933c417f8f6331bb2608238c","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 14, Iss 8, p 325 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computers14080325","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14080325","pdf_url":"https://www.mdpi.com/2073-431X/14/8/325/pdf?version=1755504102","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413188705.pdf","grobid_xml":"https://content.openalex.org/works/W4413188705.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1973721774","https://openalex.org/W2039015671","https://openalex.org/W2167546040","https://openalex.org/W2295598076","https://openalex.org/W2346100606","https://openalex.org/W2626095066","https://openalex.org/W2803403013","https://openalex.org/W2894914645","https://openalex.org/W2962932373","https://openalex.org/W2995235877","https://openalex.org/W2995914110","https://openalex.org/W3014235068","https://openalex.org/W3125213913","https://openalex.org/W3144310431","https://openalex.org/W3171270948","https://openalex.org/W3172256710","https://openalex.org/W3213857717","https://openalex.org/W4200310129","https://openalex.org/W4285101841","https://openalex.org/W4312755295","https://openalex.org/W4386811934","https://openalex.org/W4391014229","https://openalex.org/W4391882540","https://openalex.org/W4399199003","https://openalex.org/W4404250052","https://openalex.org/W4411895254","https://openalex.org/W4411972984","https://openalex.org/W6839801109","https://openalex.org/W6840074922"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Missing":[0],"data":[1,26,70,74,97,192],"imputation":[2,39,49,105,144],"is":[3,57],"a":[4,37,60,122,188],"critical":[5],"preprocessing":[6,193],"task":[7],"that":[8,45,135],"directly":[9],"impacts":[10],"the":[11,30,111,163],"quality":[12],"and":[13,24,28,52,56,72,90,92,106,148,152,160,179],"reliability":[14],"of":[15,32,125],"data-driven":[16],"analyses,":[17],"yet":[18],"many":[19],"existing":[20],"methods":[21],"treat":[22],"numerical":[23,82],"categorical":[25],"separately":[27],"lack":[29],"integration":[31],"advanced":[33],"techniques.":[34],"We":[35,109],"suggest":[36],"novel":[38],"technique":[40],"to":[41,79,86,94],"overcome":[42],"these":[43],"restrictions":[44],"synergistically":[46],"combines":[47],"regression":[48,77],"using":[50,76],"HistGradientBoostingRegressor":[51],"fuzzy":[53,84,159],"rule-based":[54],"systems":[55],"enhanced":[58],"by":[59,103],"tailored":[61],"clustering":[62,93,161],"process.":[63],"This":[64],"integrated":[65],"approach":[66],"effectively":[67],"handles":[68],"mixed":[69],"types":[71],"complex":[73],"structures":[75],"models":[78],"predict":[80],"missing":[81,130],"values,":[83],"logic":[85],"incorporate":[87],"expert":[88],"knowledge":[89],"interpretability,":[91],"capture":[95],"latent":[96],"patterns.":[98],"Categorical":[99],"variables":[100],"are":[101],"managed":[102],"mode":[104],"label":[107],"encoding.":[108],"evaluated":[110],"method":[112,164],"on":[113,128],"twelve":[114],"tabular":[115],"datasets":[116],"with":[117,141,158],"artificially":[118],"introduced":[119],"missingness,":[120],"employing":[121],"comprehensive":[123],"set":[124],"metrics":[126],"focused":[127],"originally":[129],"entries.":[131],"The":[132],"results":[133],"demonstrate":[134],"our":[136],"iterative":[137],"imputer":[138],"performs":[139],"competitively":[140],"other":[142],"established":[143],"techniques,":[145],"achieving":[146],"better":[147],"comparable":[149],"error":[150],"rates":[151],"accuracy.":[153],"By":[154],"combining":[155],"statistical":[156],"learning":[157],"frameworks,":[162],"achieves":[165],"15%":[166],"lower":[167,174],"Root":[168],"Mean":[169,175],"Square":[170],"Error":[171,177],"(RMSE),":[172],"10%":[173],"Absolute":[176],"(MAE),":[178],"80%":[180],"higher":[181],"precision":[182],"in":[183,191,194],"UCI":[184],"datasets,":[185],"thus":[186],"offering":[187],"promising":[189],"advance":[190],"practical":[195],"applications.":[196]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
