{"id":"https://openalex.org/W3109183369","doi":"https://doi.org/10.1109/codit49905.2020.9263795","title":"Developing a framework for classification and/or recommendation","display_name":"Developing a framework for classification and/or recommendation","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3109183369","doi":"https://doi.org/10.1109/codit49905.2020.9263795","mag":"3109183369"},"language":"en","primary_location":{"id":"doi:10.1109/codit49905.2020.9263795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit49905.2020.9263795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080449559","display_name":"Ayeley Tchangani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130517","display_name":"Laboratoire G\u00e9nie de Production","ror":"https://ror.org/039aqbp11","country_code":"FR","type":"facility","lineage":["https://openalex.org/I119865316","https://openalex.org/I4210130517","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ayeley Tchangani","raw_affiliation_strings":["Laboratoire G\u00e9nie de Production, Universit\u00e9 de Toulouse, Tarbes, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire G\u00e9nie de Production, Universit\u00e9 de Toulouse, Tarbes, France","institution_ids":["https://openalex.org/I4210130517","https://openalex.org/I17866349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055052285","display_name":"Fran\u00e7ois P\u00e9r\u00e8s","orcid":"https://orcid.org/0000-0001-7821-6651"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"id":"https://openalex.org/I4210130517","display_name":"Laboratoire G\u00e9nie de Production","ror":"https://ror.org/039aqbp11","country_code":"FR","type":"facility","lineage":["https://openalex.org/I119865316","https://openalex.org/I4210130517","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Peres","raw_affiliation_strings":["Laboratoire G\u00e9nie de Production, Universit\u00e9 de Toulouse, Tarbes, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire G\u00e9nie de Production, Universit\u00e9 de Toulouse, Tarbes, France","institution_ids":["https://openalex.org/I4210130517","https://openalex.org/I17866349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080449559"],"corresponding_institution_ids":["https://openalex.org/I17866349","https://openalex.org/I4210130517"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20185535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"457","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9937999844551086,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.739061713218689},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6982171535491943},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6471007466316223},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6164569854736328},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5428154468536377},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5334753394126892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5282387137413025},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.49443650245666504},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4916008412837982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48734697699546814},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4780631363391876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4552518129348755},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4227920472621918},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3224914073944092},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20106720924377441},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17002537846565247}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.739061713218689},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6982171535491943},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6471007466316223},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6164569854736328},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5428154468536377},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5334753394126892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5282387137413025},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.49443650245666504},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4916008412837982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48734697699546814},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4780631363391876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4552518129348755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4227920472621918},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3224914073944092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20106720924377441},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17002537846565247},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/codit49905.2020.9263795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit49905.2020.9263795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:oatao.univ-toulouse.fr:26993","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401987","display_name":"Open Archive Toulouse Archive Ouverte (University of Toulouse)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I17866349","host_organization_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","host_organization_lineage":["https://openalex.org/I17866349"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:HAL:hal-03629938v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03629938","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), Jun 2020, Prague, Czech Republic. pp.457-462, &#x27E8;10.1109/CoDIT49905.2020.9263795&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:oatao.univ-toulouse.fr:26993","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401987","display_name":"Open Archive Toulouse Archive Ouverte (University of Toulouse)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I17866349","host_organization_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","host_organization_lineage":["https://openalex.org/I17866349"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1713095758","https://openalex.org/W1847213163","https://openalex.org/W1965473535","https://openalex.org/W1965555277","https://openalex.org/W1971597957","https://openalex.org/W1990673330","https://openalex.org/W2036234778","https://openalex.org/W2097150752","https://openalex.org/W2116814417","https://openalex.org/W2480762010","https://openalex.org/W2747303354","https://openalex.org/W2917847579","https://openalex.org/W3003096998","https://openalex.org/W3016005719","https://openalex.org/W6674707589","https://openalex.org/W6773230582"],"related_works":["https://openalex.org/W3208095355","https://openalex.org/W2177370417","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W2009776842","https://openalex.org/W4320802053"],"abstract_inverted_index":{"The":[0,230],"objective":[1],"of":[2,80,84,112,114,120,125,168,227,232],"this":[3,70],"communication":[4],"is":[5,30,54,128],"to":[6,51,66,74,96,106,152,156,165,172,203,214,236],"establish":[7],"a":[8,27,56,110,118,145,198,210,215,228,237,241],"framework":[9],"for":[10,23,25,88],"classifying":[11],"or":[12,22,32,82,99,147,170],"recommending":[13],"an":[14,94,133,222],"object":[15,95,155,175,223],"characterized":[16,44,190],"by":[17,45,131,144,191],"several":[18],"attributes":[19],"into":[20,78],"classes":[21,42,141,188],"uses":[24],"which":[26],"nominal":[28],"representative":[29,226],"known":[31],"some":[33],"entry":[34,46],"conditions":[35],"are":[36,43,64,142,189],"specified.":[37],"In":[38],"the":[39,48,115,122,126,150,154,174,177,225,233],"case":[40],"where":[41],"conditions,":[47],"mathematical":[49],"problem":[50,239],"be":[52,97,102,157,160],"solved":[53],"typically":[55],"constraints":[57,63,77],"satisfaction":[58],"problem.":[59],"But":[60],"in":[61,69,104,176],"general,":[62],"subject":[65],"uncertainty,":[67],"so":[68],"paper,":[71],"we":[72,185,201],"propose":[73,202],"transform":[75],"these":[76,91,137],"functions":[79],"membership":[81],"non-membership":[83],"fuzzy":[85],"subsets;":[86],"thus":[87],"each":[89],"class,":[90],"functions,":[92],"given":[93,183,211],"classified":[98,158],"recommended,":[100],"can":[101],"aggregated":[103],"synergy":[105],"give":[107],"two":[108,138],"measures:":[109],"measure":[111,119,220],"selectability":[113],"class":[116,127],"and":[117,195,224],"rejectability;":[121],"final":[123],"choice":[124],"then":[129],"made":[130],"optimizing":[132],"index":[134],"based":[135],"on":[136],"measures.":[139],"When":[140],"determined":[143],"primary":[146],"main":[148,216],"representative,":[149],"leader":[151],"whom":[153],"should":[159],"compared,":[161],"it":[162],"seems":[163],"natural":[164],"use":[166,204],"measures":[167],"similarity":[169],"dissimilarity":[171,219],"classify":[173],"right":[178],"class.":[179,229],"To":[180],"do":[181],"this,":[182],"that":[184,187,208],"consider":[186],"normalized":[192],"numerical":[193],"indicators":[194],"therefore":[196],"resemble":[197],"probabilistic":[199],"structure,":[200],"Kullback-Leibler":[205],"(KL)":[206],"divergence":[207],"compares":[209],"probability":[212],"distribution":[213],"one":[217],"as":[218],"between":[221],"application":[231],"approach":[234],"developed":[235],"real-world":[238],"shows":[240],"certain":[242],"potentiality.":[243]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
