{"id":"https://openalex.org/W3011780168","doi":"https://doi.org/10.1109/access.2020.2979553","title":"Possibilistic Similarity Measures for Data Science and Machine Learning Applications","display_name":"Possibilistic Similarity Measures for Data Science and Machine Learning Applications","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011780168","doi":"https://doi.org/10.1109/access.2020.2979553","mag":"3011780168"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2979553","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979553","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.2979553","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071945824","display_name":"Amal Charfi","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Amal Charfi","raw_affiliation_strings":["Control and Energy Managment (CEM Lab), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Energy Managment (CEM Lab), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036868977","display_name":"Sonda Ammar Bouhamed","orcid":"https://orcid.org/0000-0001-9880-096X"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR","TN"],"is_corresponding":false,"raw_author_name":"Sonda Ammar Bouhamed","raw_affiliation_strings":["Control and Energy Managment (CEM Lab), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia","Image & Information Processing Department (iTi), IMT Atlantique, Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Energy Managment (CEM Lab), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Image & Information Processing Department (iTi), IMT Atlantique, Brest, France","institution_ids":["https://openalex.org/I4210127572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044704830","display_name":"\u00c9loi Boss\u00e9","orcid":"https://orcid.org/0000-0001-9658-7595"},"institutions":[{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eloi Bosse","raw_affiliation_strings":["Expertises Parafuse, Inc., Quebec, Canada","Image & Information Processing Department (iTi), IMT Atlantique, Brest, France"],"raw_orcid":"https://orcid.org/0000-0001-9658-7595","affiliations":[{"raw_affiliation_string":"Expertises Parafuse, Inc., Quebec, Canada","institution_ids":[]},{"raw_affiliation_string":"Image & Information Processing Department (iTi), IMT Atlantique, Brest, France","institution_ids":["https://openalex.org/I4210127572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023893919","display_name":"Im\u00e8ne Khanfir Kallel","orcid":"https://orcid.org/0000-0002-0618-5080"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR","TN"],"is_corresponding":false,"raw_author_name":"Imene Khanfir Kallel","raw_affiliation_strings":["Control and Energy Managment (CEM Lab), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia","Image & Information Processing Department (iTi), IMT Atlantique, Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Energy Managment (CEM Lab), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Image & Information Processing Department (iTi), IMT Atlantique, Brest, France","institution_ids":["https://openalex.org/I4210127572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021952066","display_name":"Wassim Bouchaala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wassim Bouchaala","raw_affiliation_strings":["Tunisian Professional Training Agency, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tunisian Professional Training Agency, Sfax, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033753600","display_name":"Basel Solaiman","orcid":"https://orcid.org/0000-0002-5977-230X"},"institutions":[{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Basel Solaiman","raw_affiliation_strings":["Image & Information Processing Department (iTi), IMT Atlantique, Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image & Information Processing Department (iTi), IMT Atlantique, Brest, France","institution_ids":["https://openalex.org/I4210127572"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085176321","display_name":"Nabil Derbel","orcid":"https://orcid.org/0000-0002-2875-562X"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Nabil Derbel","raw_affiliation_strings":["Control and Energy Managment (CEM Lab), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control and Energy Managment (CEM Lab), National School of Engineers of Sfax, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2614,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81356032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"49198","last_page":"49211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9991999864578247,"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":0.9991999864578247,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9731000065803528,"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":0.9731000065803528,"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/similarity","display_name":"Similarity (geometry)","score":0.8369080424308777},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6941957473754883},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6479783654212952},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6275655031204224},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6202418208122253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5949286818504333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5206609964370728},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5094547867774963},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5088775157928467},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48153358697891235}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8369080424308777},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6941957473754883},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6479783654212952},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6275655031204224},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6202418208122253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5949286818504333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5206609964370728},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5094547867774963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5088775157928467},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48153358697891235},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.2979553","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979553","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-02890097v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02890097","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, 2020, &#x27E8;10.1109/ACCESS.2020.2979553&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:8d6760a3b8a04c9b901aabb90720d394","is_oa":true,"landing_page_url":"https://doaj.org/article/8d6760a3b8a04c9b901aabb90720d394","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 49198-49211 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2979553","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979553","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W69231701","https://openalex.org/W156881790","https://openalex.org/W201578715","https://openalex.org/W1499982259","https://openalex.org/W1543320899","https://openalex.org/W1566018662","https://openalex.org/W1979047307","https://openalex.org/W1980632849","https://openalex.org/W1982618675","https://openalex.org/W2016510629","https://openalex.org/W2019950953","https://openalex.org/W2043164102","https://openalex.org/W2045608397","https://openalex.org/W2050291696","https://openalex.org/W2075143645","https://openalex.org/W2089115438","https://openalex.org/W2114483988","https://openalex.org/W2115933183","https://openalex.org/W2124409483","https://openalex.org/W2141532406","https://openalex.org/W2155653793","https://openalex.org/W2156553253","https://openalex.org/W2167071524","https://openalex.org/W2175503842","https://openalex.org/W2286246339","https://openalex.org/W2566803410","https://openalex.org/W2615737084","https://openalex.org/W2621210799","https://openalex.org/W2626327908","https://openalex.org/W2746450853","https://openalex.org/W2793399378","https://openalex.org/W2793958040","https://openalex.org/W2797148637","https://openalex.org/W2888392466","https://openalex.org/W2888542292","https://openalex.org/W2912565176","https://openalex.org/W2922771328","https://openalex.org/W4211007335","https://openalex.org/W4230588984","https://openalex.org/W4239148722","https://openalex.org/W4251354162","https://openalex.org/W4301347335","https://openalex.org/W6633661181","https://openalex.org/W6677301753","https://openalex.org/W6683176386","https://openalex.org/W6742553819","https://openalex.org/W6750319461","https://openalex.org/W7024577970"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W2163064108","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2790658443","https://openalex.org/W2767257176","https://openalex.org/W2915154372","https://openalex.org/W1940044583","https://openalex.org/W2056226831","https://openalex.org/W1605984447"],"abstract_inverted_index":{"Measuring":[0],"similarity":[1,61,70,80,98,107,122,130,164],"is":[2,34,76,126,156],"of":[3,41,68,93,103,153,161],"a":[4,27,91,97],"great":[5],"interest":[6],"in":[7,13,38],"many":[8],"research":[9],"areas":[10],"such":[11],"as":[12],"data":[14],"sciences,":[15],"machine":[16],"learning,":[17],"pattern":[18],"recognition,":[19],"text":[20],"analysis":[21],"and":[22,44,50,128,140],"information":[23],"retrieval":[24],"to":[25,47,86,89,157,168],"name":[26],"few.":[28],"Literature":[29],"has":[30],"shown":[31,174],"that":[32,96],"possibility":[33,64,208],"an":[35],"attractive":[36],"notion":[37],"the":[39,60,73,104,117,129,154,159,162,178,183,188,192,214],"context":[40,203],"distinguishability":[42],"assessment":[43],"can":[45,210],"lead":[46],"very":[48],"efficient":[49],"computationally":[51],"inexpensive":[52],"learning":[53],"schemes.":[54],"This":[55],"paper":[56],"focuses":[57],"on":[58,116,198],"determining":[59],"between":[62],"two":[63,194],"distributions.":[65],"A":[66,120],"review":[67],"existing":[69,105],"measures":[71,81,108,131,165],"within":[72],"possibilistic":[74,106,163],"framework":[75],"presented":[77],"first.":[78],"Then,":[79],"are":[82,132,144],"analyzed":[83],"with":[84,182],"respect":[85],"their":[87],"capacity":[88],"satisfy":[90],"set":[92],"required":[94],"properties":[95],"measure":[99],"should":[100],"own.":[101],"Most":[102],"produce":[109],"undesirable":[110],"outcomes":[111],"since":[112],"they":[113],"generally":[114],"depend":[115],"application":[118],"context.":[119],"new":[121],"measure,":[123],"called":[124],"InfoSpecificity,":[125],"introduced":[127],"categorized":[133],"into":[134],"three":[135],"main":[136],"methods:":[137],"morphic-based,":[138],"amorphic-based":[139],"hybrid.":[141],"Two":[142],"experiments":[143,155,172],"being":[145],"conducted":[146],"using":[147],"four":[148],"benchmark":[149],"databases.":[150],"The":[151],"aim":[152],"compare":[158],"efficiency":[160],"when":[166,196],"applied":[167],"real":[169],"data.":[170],"Empirical":[171],"have":[173],"good":[175],"results":[176],"for":[177],"hybrid":[179,189],"methods,":[180],"particularly":[181],"InfoSpecificity":[184],"measure.":[185],"In":[186],"general,":[187],"methods":[190],"outperform":[191],"other":[193],"categories":[195],"evaluated":[197],"small-size":[199],"samples,":[200],"i.e.,":[201],"poor-data":[202],"(or":[204],"poor-informed":[205],"environment)":[206],"where":[207],"theory":[209],"be":[211],"used":[212],"at":[213],"greatest":[215],"benefit.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
