{"id":"https://openalex.org/W4385954967","doi":"https://doi.org/10.3390/e25081223","title":"Application of the Fuzzy Approach for Evaluating and Selecting Relevant Objects, Features, and Their Ranges","display_name":"Application of the Fuzzy Approach for Evaluating and Selecting Relevant Objects, Features, and Their Ranges","publication_year":2023,"publication_date":"2023-08-17","ids":{"openalex":"https://openalex.org/W4385954967","doi":"https://doi.org/10.3390/e25081223","pmid":"https://pubmed.ncbi.nlm.nih.gov/37628253"},"language":"en","primary_location":{"id":"doi:10.3390/e25081223","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25081223","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1223/pdf?version=1692262265","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/8/1223/pdf?version=1692262265","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090159958","display_name":"Wies\u0142aw Paja","orcid":"https://orcid.org/0000-0002-6446-036X"},"institutions":[{"id":"https://openalex.org/I4210087266","display_name":"Institute of Computer Science","ror":"https://ror.org/003fvp964","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Wies\u0142aw Paja","raw_affiliation_strings":["Institute of Computer Science, College of Natural Sciences, University of Rzesz\u00f3w, Rejtana Str. 16C, 35-959 Rzesz\u00f3w, Poland"],"raw_orcid":"https://orcid.org/0000-0002-6446-036X","affiliations":[{"raw_affiliation_string":"Institute of Computer Science, College of Natural Sciences, University of Rzesz\u00f3w, Rejtana Str. 16C, 35-959 Rzesz\u00f3w, Poland","institution_ids":["https://openalex.org/I4210087266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090159958"],"corresponding_institution_ids":["https://openalex.org/I4210087266"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.3717,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64192968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"25","issue":"8","first_page":"1223","last_page":"1223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9753000140190125,"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":0.9736999869346619,"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/computer-science","display_name":"Computer science","score":0.7354910373687744},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6098759174346924},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.608916163444519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5862695574760437},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5821593403816223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5806195735931396},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5777071118354797},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5698416829109192},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.558400571346283},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48447751998901367},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.43371865153312683},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42813628911972046},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.42786380648612976},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11244276165962219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354910373687744},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6098759174346924},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.608916163444519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5862695574760437},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5821593403816223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5806195735931396},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5777071118354797},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5698416829109192},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.558400571346283},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48447751998901367},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.43371865153312683},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42813628911972046},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.42786380648612976},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11244276165962219},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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":5,"locations":[{"id":"doi:10.3390/e25081223","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25081223","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1223/pdf?version=1692262265","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:37628253","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37628253","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10453594","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10453594","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10453594/pdf/entropy-25-01223.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:2d4d93a9a7e244feb19a949815193a54","is_oa":true,"landing_page_url":"https://doaj.org/article/2d4d93a9a7e244feb19a949815193a54","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":"Entropy, Vol 25, Iss 8, p 1223 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/8/1223/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25081223","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 25; Issue 8; Pages: 1223","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e25081223","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25081223","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1223/pdf?version=1692262265","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324713","display_name":"Uniwersytet Rzeszowski","ror":"https://ror.org/03pfsnq21"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385954967.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1512448514","https://openalex.org/W1700449338","https://openalex.org/W1751255324","https://openalex.org/W1976990135","https://openalex.org/W2002680690","https://openalex.org/W2017337590","https://openalex.org/W2020355555","https://openalex.org/W2149376583","https://openalex.org/W2156665896","https://openalex.org/W2167101736","https://openalex.org/W2178957972","https://openalex.org/W2254005892","https://openalex.org/W2280214703","https://openalex.org/W2295124130","https://openalex.org/W2499254828","https://openalex.org/W2550614318","https://openalex.org/W2768829501","https://openalex.org/W2889521985","https://openalex.org/W2911964244","https://openalex.org/W2987541078","https://openalex.org/W3011398700","https://openalex.org/W3151822565","https://openalex.org/W3191331421","https://openalex.org/W3198535066","https://openalex.org/W3204439679","https://openalex.org/W4205699531","https://openalex.org/W4211007335","https://openalex.org/W4224996619","https://openalex.org/W4313856948","https://openalex.org/W4320485622","https://openalex.org/W4362465692","https://openalex.org/W4367852667","https://openalex.org/W6697018724"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W20047544","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Relevant":[0],"attribute":[1],"selection":[2,125],"in":[3,40,108],"machine":[4],"learning":[5],"is":[6],"a":[7,35,41,52,63,112],"key":[8],"aspect":[9],"aimed":[10],"at":[11],"simplifying":[12],"the":[13,49,67,86,90,97,102,105],"problem,":[14],"reducing":[15],"its":[16],"dimensionality,":[17],"and":[18,31,33,73,75],"consequently":[19],"accelerating":[20],"computation.":[21],"This":[22],"paper":[23],"proposes":[24],"new":[25,64],"algorithms":[26,44],"for":[27],"selecting":[28,34,70,76],"relevant":[29,38,71,116],"features":[30],"evaluating":[32],"subset":[36,113],"of":[37,51,62,69,79,93,104,110,114],"objects":[39,74],"dataset.":[42],"Both":[43],"are":[45],"mainly":[46],"based":[47],"on":[48,85],"use":[50],"fuzzy":[53],"approach.":[54,95],"The":[55],"research":[56],"presented":[57],"here":[58],"yielded":[59],"preliminary":[60],"results":[61,83,99],"approach":[65],"to":[66],"problem":[68],"attributes":[72,117],"appropriate":[77],"ranges":[78],"their":[80],"values.":[81],"Detailed":[82],"obtained":[84],"Sonar":[87],"dataset":[88],"show":[89],"positive":[91],"effects":[92],"this":[94],"Moreover,":[96],"observed":[98],"may":[100],"suggest":[101],"effectiveness":[103],"proposed":[106],"method":[107],"terms":[109],"identifying":[111],"truly":[115],"from":[118],"among":[119],"those":[120],"identified":[121],"by":[122],"traditional":[123],"feature":[124],"methods.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}