{"id":"https://openalex.org/W4415974270","doi":"https://doi.org/10.1016/j.procs.2025.09.175","title":"Relationships between attributes and decisions with exclusion of part of the data using fuzzy inequalities","display_name":"Relationships between attributes and decisions with exclusion of part of the data using fuzzy inequalities","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415974270","doi":"https://doi.org/10.1016/j.procs.2025.09.175"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.09.175","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.175","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.09.175","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037404847","display_name":"Zofia Matusiewicz","orcid":"https://orcid.org/0000-0003-0523-0983"},"institutions":[{"id":"https://openalex.org/I4210109085","display_name":"University of Information Technology and Management in Rzeszow","ror":"https://ror.org/01t81sv44","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210109085"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Zofia Matusiewicz","raw_affiliation_strings":["University of Information Technology and Management, Department of Cognitive Science and Mathematical Modeling, Sucharskiego 2, Rzesz\u00f3w 35-225, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Information Technology and Management, Department of Cognitive Science and Mathematical Modeling, Sucharskiego 2, Rzesz\u00f3w 35-225, Poland","institution_ids":["https://openalex.org/I4210109085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029851281","display_name":"Piotr Matusiewicz","orcid":"https://orcid.org/0000-0003-1744-5690"},"institutions":[{"id":"https://openalex.org/I3019092743","display_name":"University of Agriculture in Krakow","ror":"https://ror.org/012dxyr07","country_code":"PL","type":"education","lineage":["https://openalex.org/I3019092743"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Matusiewicz","raw_affiliation_strings":["AGH University of Krak\u00f3w, Artificial Intelligence in Medicine, Mickiewicza 30, Krak\u00f3w 30-059, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AGH University of Krak\u00f3w, Artificial Intelligence in Medicine, Mickiewicza 30, Krak\u00f3w 30-059, Poland","institution_ids":["https://openalex.org/I3019092743","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037404847"],"corresponding_institution_ids":["https://openalex.org/I4210109085"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42682541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"270","issue":null,"first_page":"563","last_page":"571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.09759999811649323,"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":0.09759999811649323,"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/T13051","display_name":"Qualitative Comparative Analysis Research","score":0.0697999969124794,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.04699999839067459,"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":0.8912000060081482},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6032999753952026},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.45719999074935913},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4521999955177307},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.33799999952316284}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8912000060081482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8406000137329102},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6032999753952026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5756999850273132},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.45719999074935913},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4521999955177307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4174000024795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3677000105381012},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.31779998540878296},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.2694999873638153}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2025.09.175","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.175","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.09.175","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.175","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2024159790","https://openalex.org/W2053404063","https://openalex.org/W2055589677","https://openalex.org/W2061821032","https://openalex.org/W2142843881","https://openalex.org/W2921817454","https://openalex.org/W4211007335","https://openalex.org/W4405842329"],"related_works":[],"abstract_inverted_index":{"The":[0,78,104,179],"study":[1],"of":[2,37,43,54,65,84,88,95,144,156,189],"relationships":[3,29,157,190],"between":[4,30,97,191],"data":[5,106,177],"aims":[6],"to":[7,26,127,130,174],"simplify":[8],"the":[9,28,46,63,66,82,92,98,102,142,154,168,175,187,194],"models":[10,124],"and":[11,18,32,90,101,193,196],"provide":[12],"explanations":[13],"for":[14,56,75,113,120],"medical,":[15],"social,":[16],"financial":[17],"other":[19],"phenomena.":[20],"This":[21],"article":[22],"introduces":[23],"an":[24,148],"approach":[25],"analyzing":[27,49],"attributes":[31,100,192],"decisions":[33],"using":[34],"relational":[35],"systems":[36],"inequalities,":[38],"incorporating":[39],"a":[40,52,57,85],"certain":[41,58],"degree":[42,94],"trust":[44],"in":[45,109,116],"data.":[47],"During":[48],"real":[50],"data,":[51],"subset":[53,87],"results":[55,89],"attribute":[59],"often":[60],"deviates":[61],"from":[62],"rest":[64],"examined":[67,99],"group.":[68],"Therefore,":[69],"separate":[70,110],"analyses":[71],"are":[72,107,125],"worth":[73],"considering":[74],"such":[76],"groups.":[77],"proposed":[79,169],"method":[80,171],"enables":[81,153],"exclusion":[83],"specified":[86],"determines":[91],"highest":[93],"dependence":[96,132],"decision.":[103],"excluded":[105],"stored":[108],"files,":[111],"allowing":[112],"further":[114],"analysis":[115],"subsequent":[117],"stages.":[118],"However,":[119],"many":[121],"researchers,":[122],"mathematical":[123,135],"difficult":[126],"apply":[128],"due":[129],"their":[131],"on":[133,159],"advanced":[134],"concepts":[136],"or":[137],"high":[138],"computational":[139],"complexity.":[140],"Additionally,":[141],"consequence":[143],"this":[145,160,166],"work":[146],"is":[147,172],"application":[149],"RRADD":[150],"(Reduction-Relation-Attributes-Decision-Data)":[151],"that":[152],"exploration":[155],"based":[158],"method,":[161],"facilitating":[162],"practical":[163],"implementations.":[164],"In":[165],"research,":[167],"RADEPD":[170],"applied":[173],"BostonHousing":[176],"set.":[178],"example":[180],"demonstrates":[181],"how":[182,197],"separating":[183],"outlier":[184],"observations":[185],"improves":[186],"interpretability":[188],"decision,":[195],"it":[198],"affects":[199],"classification":[200],"accuracy":[201],"under":[202],"different":[203],"t-norms.":[204]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-06T00:00:00"}