{"id":"https://openalex.org/W3111244757","doi":"https://doi.org/10.3233/jifs-201833","title":"A probabilistic modeling approach for interpretable data inference and classification","display_name":"A probabilistic modeling approach for interpretable data inference and classification","publication_year":2020,"publication_date":"2020-12-08","ids":{"openalex":"https://openalex.org/W3111244757","doi":"https://doi.org/10.3233/jifs-201833","mag":"3111244757"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-201833","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201833","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"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/A5070649552","display_name":"Shuaiyu Yao","orcid":"https://orcid.org/0000-0002-9360-6882"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuaiyu Yao","raw_affiliation_strings":["School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054515260","display_name":"Jianbo Yang","orcid":"https://orcid.org/0000-0002-1368-5294"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jian-Bo Yang","raw_affiliation_strings":["Alliance Manchester Business School, The University of Manchester, Manchester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alliance Manchester Business School, The University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030611924","display_name":"Dong\u2010Ling Xu","orcid":"https://orcid.org/0000-0003-4480-1611"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dong-Ling Xu","raw_affiliation_strings":["Alliance Manchester Business School, The University of Manchester, Manchester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alliance Manchester Business School, The University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070649552"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.3911,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70131978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"40","issue":"3","first_page":"5101","last_page":"5117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976999759674072,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976999759674072,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9901000261306763,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.965399980545044,"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/interpretability","display_name":"Interpretability","score":0.8047125339508057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6809011697769165},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6450028419494629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6439802646636963},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"Probabilistic classification","score":0.6401553153991699},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6117184162139893},{"id":"https://openalex.org/keywords/fiducial-inference","display_name":"Fiducial inference","score":0.5627416372299194},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47340354323387146},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4690221846103668},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.46513527631759644},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4627169966697693},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4511527121067047},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4278334677219391},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3996889889240265},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3572703003883362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32314395904541016},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.3019064664840698},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2675541043281555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25277602672576904},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17827212810516357}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8047125339508057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6809011697769165},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6450028419494629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439802646636963},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.6401553153991699},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6117184162139893},{"id":"https://openalex.org/C95167961","wikidata":"https://www.wikidata.org/wiki/Q4483495","display_name":"Fiducial inference","level":5,"score":0.5627416372299194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47340354323387146},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4690221846103668},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.46513527631759644},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4627169966697693},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4511527121067047},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4278334677219391},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3996889889240265},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3572703003883362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32314395904541016},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.3019064664840698},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2675541043281555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25277602672576904},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17827212810516357}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/jifs-201833","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-201833","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/c2890fcc-ff51-4e4b-b9e2-86a97855051e","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/c2890fcc-ff51-4e4b-b9e2-86a97855051e","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Yao, S, Yang, J-B & Xu, D-L 2021, 'A probabilistic modeling approach for interpretable data inference and classification', Journal of Intelligent and Fuzzy Systems, vol. 40, no. 3, pp. 5101-5117. https://doi.org/10.3233/JIFS-201833","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W220610738","https://openalex.org/W1030414202","https://openalex.org/W1544435011","https://openalex.org/W1586313000","https://openalex.org/W1591101123","https://openalex.org/W1849277567","https://openalex.org/W1973948212","https://openalex.org/W1996796871","https://openalex.org/W2003087683","https://openalex.org/W2004139117","https://openalex.org/W2007723454","https://openalex.org/W2049337423","https://openalex.org/W2109034551","https://openalex.org/W2121148202","https://openalex.org/W2132036416","https://openalex.org/W2140364226","https://openalex.org/W2170515401","https://openalex.org/W2195423002","https://openalex.org/W2211260512","https://openalex.org/W2332488709","https://openalex.org/W2367397349","https://openalex.org/W2406470551","https://openalex.org/W2546521646","https://openalex.org/W2736287575","https://openalex.org/W2741678970","https://openalex.org/W2753415590","https://openalex.org/W2766851222","https://openalex.org/W2776220900","https://openalex.org/W2796096336","https://openalex.org/W2883817443","https://openalex.org/W2899015031","https://openalex.org/W2902255491","https://openalex.org/W2903155847","https://openalex.org/W2904900506","https://openalex.org/W2910705748","https://openalex.org/W2911583982","https://openalex.org/W2949056762","https://openalex.org/W2996061341","https://openalex.org/W2997670493","https://openalex.org/W4299689471","https://openalex.org/W6743846187"],"related_works":["https://openalex.org/W2145181052","https://openalex.org/W2478683457","https://openalex.org/W1931498312","https://openalex.org/W2171342382","https://openalex.org/W2100707152","https://openalex.org/W97045573","https://openalex.org/W2111053936","https://openalex.org/W44555590","https://openalex.org/W644065248","https://openalex.org/W2154086894"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,91,121],"new":[6],"probabilistic":[7],"modeling":[8],"approach":[9,24,89],"for":[10,124],"interpretable":[11,102,106,111,139],"inference":[12,50,107],"and":[13,31,36,60,109,129,133,146],"classification":[14],"using":[15],"the":[16,55,69,82,88,125],"maximum":[17],"likelihood":[18],"evidential":[19],"reasoning":[20],"(MAKER)":[21],"framework.":[22],"This":[23],"integrates":[25],"statistical":[26],"analysis,":[27],"hybrid":[28],"evidence":[29,45,103],"combination":[30],"belief":[32],"rule-based":[33],"(BRB)":[34],"inference,":[35],"machine":[37],"learning.":[38],"Statistical":[39],"analysis":[40],"is":[41,51,65,78,96,117],"used":[42,66],"to":[43,53,67,80,119],"acquire":[44],"from":[46],"data.":[47],"The":[48,84,114],"BRB":[49],"applied":[52,79],"analyze":[54],"relationship":[56],"between":[57,71],"system":[58],"inputs":[59],"outputs.":[61],"An":[62,74],"interdependence":[63,70],"index":[64],"quantify":[68],"input":[72],"variables.":[73],"adapted":[75],"genetic":[76],"algorithm":[77],"train":[81],"models.":[83],"model":[85,116],"established":[86],"by":[87],"features":[90],"unique":[92],"strong":[93],"interpretability,":[94],"which":[95],"reflected":[97],"in":[98],"three":[99],"aspects:":[100],"(1)":[101],"acquisition,":[104],"(2)":[105],"mechanism,":[108],"(3)":[110],"parameters":[112],"determination.":[113],"MAKER-based":[115],"shown":[118],"be":[120],"competitive":[122],"classifier":[123],"Banana,":[126],"Haberman\u2019s":[127],"survival,":[128],"Iris":[130],"data":[131],"set,":[132],"generally":[134],"performs":[135],"better":[136],"than":[137],"other":[138],"classifiers,":[140],"e.g.,":[141],"complex":[142],"tree,":[143],"logistic":[144],"regression,":[145],"naive":[147],"Bayes.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}