{"id":"https://openalex.org/W4413006824","doi":"https://doi.org/10.3390/sym17081254","title":"Modeling Based on Machine Learning and Synthetic Generated Dataset for the Needs of Multi-Criteria Decision-Making Forensics","display_name":"Modeling Based on Machine Learning and Synthetic Generated Dataset for the Needs of Multi-Criteria Decision-Making Forensics","publication_year":2025,"publication_date":"2025-08-06","ids":{"openalex":"https://openalex.org/W4413006824","doi":"https://doi.org/10.3390/sym17081254"},"language":"en","primary_location":{"id":"doi:10.3390/sym17081254","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17081254","pdf_url":"https://www.mdpi.com/2073-8994/17/8/1254/pdf?version=1754483076","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/8/1254/pdf?version=1754483076","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008224849","display_name":"Aleksandar Aleksi\u0107","orcid":"https://orcid.org/0000-0002-7990-9123"},"institutions":[{"id":"https://openalex.org/I4210120853","display_name":"Univerzitet Union Nikola Tesla","ror":"https://ror.org/02kgjn162","country_code":"RS","type":"education","lineage":["https://openalex.org/I4210120853"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Aleksandar Aleksi\u0107","raw_affiliation_strings":["Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia","institution_ids":["https://openalex.org/I4210120853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021048081","display_name":"Radovan Radovanovi\u0107","orcid":"https://orcid.org/0000-0001-7302-8328"},"institutions":[{"id":"https://openalex.org/I4210095951","display_name":"Ministry of Interior","ror":"https://ror.org/00pewg788","country_code":"HU","type":"government","lineage":["https://openalex.org/I2801923502","https://openalex.org/I4210095951"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Radovan Radovanovi\u0107","raw_affiliation_strings":["University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0000-0001-7302-8328","affiliations":[{"raw_affiliation_string":"University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia","institution_ids":["https://openalex.org/I4210095951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041958955","display_name":"Du\u0161an Joksimovi\u0107","orcid":"https://orcid.org/0000-0001-5390-4052"},"institutions":[{"id":"https://openalex.org/I4210095951","display_name":"Ministry of Interior","ror":"https://ror.org/00pewg788","country_code":"HU","type":"government","lineage":["https://openalex.org/I2801923502","https://openalex.org/I4210095951"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Du\u0161an Joksimovi\u0107","raw_affiliation_strings":["University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0000-0001-5390-4052","affiliations":[{"raw_affiliation_string":"University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia","institution_ids":["https://openalex.org/I4210095951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025129758","display_name":"Milan Randjelovic","orcid":"https://orcid.org/0000-0001-7229-2207"},"institutions":[{"id":"https://openalex.org/I152518017","display_name":"University of Nis","ror":"https://ror.org/00965bg92","country_code":"RS","type":"education","lineage":["https://openalex.org/I152518017"]},{"id":"https://openalex.org/I4210132213","display_name":"Science & Technology Park (Czechia)","ror":"https://ror.org/03ftcvv28","country_code":"CZ","type":"other","lineage":["https://openalex.org/I4210132213"]}],"countries":["CZ","RS"],"is_corresponding":false,"raw_author_name":"Milan Ran\u0111elovi\u0107","raw_affiliation_strings":["Science Technology Park, 18104 Ni\u0161, Serbia"],"raw_orcid":"https://orcid.org/0000-0001-7229-2207","affiliations":[{"raw_affiliation_string":"Science Technology Park, 18104 Ni\u0161, Serbia","institution_ids":["https://openalex.org/I152518017","https://openalex.org/I4210132213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054694673","display_name":"Vladimir Vukovi\u0107","orcid":"https://orcid.org/0000-0003-0702-2475"},"institutions":[{"id":"https://openalex.org/I4210120853","display_name":"Univerzitet Union Nikola Tesla","ror":"https://ror.org/02kgjn162","country_code":"RS","type":"education","lineage":["https://openalex.org/I4210120853"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Vladimir Vukovi\u0107","raw_affiliation_strings":["Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia","institution_ids":["https://openalex.org/I4210120853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037653993","display_name":"Slavi\u0161a Ili\u0107","orcid":"https://orcid.org/0000-0003-3314-5794"},"institutions":[{"id":"https://openalex.org/I4210120853","display_name":"Univerzitet Union Nikola Tesla","ror":"https://ror.org/02kgjn162","country_code":"RS","type":"education","lineage":["https://openalex.org/I4210120853"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Slavi\u0161a Ili\u0107","raw_affiliation_strings":["Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0000-0003-3314-5794","affiliations":[{"raw_affiliation_string":"Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia","institution_ids":["https://openalex.org/I4210120853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035156209","display_name":"Dragan Randjelovi\u0107","orcid":"https://orcid.org/0000-0002-2008-4729"},"institutions":[{"id":"https://openalex.org/I4210120853","display_name":"Univerzitet Union Nikola Tesla","ror":"https://ror.org/02kgjn162","country_code":"RS","type":"education","lineage":["https://openalex.org/I4210120853"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Dragan Ran\u0111elovi\u0107","raw_affiliation_strings":["Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0000-0002-2008-4729","affiliations":[{"raw_affiliation_string":"Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia","institution_ids":["https://openalex.org/I4210120853"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5035156209"],"corresponding_institution_ids":["https://openalex.org/I4210120853"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.9057,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88671536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"17","issue":"8","first_page":"1254","last_page":"1254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9958000183105469,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9958000183105469,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9919999837875366,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7167627811431885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5151523351669312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4546026885509491}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167627811431885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5151523351669312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4546026885509491}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17081254","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17081254","pdf_url":"https://www.mdpi.com/2073-8994/17/8/1254/pdf?version=1754483076","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17081254","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17081254","pdf_url":"https://www.mdpi.com/2073-8994/17/8/1254/pdf?version=1754483076","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413006824.pdf","grobid_xml":"https://content.openalex.org/works/W4413006824.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1524771255","https://openalex.org/W1997772982","https://openalex.org/W2011343137","https://openalex.org/W2016023958","https://openalex.org/W2024046085","https://openalex.org/W2078839611","https://openalex.org/W2080184650","https://openalex.org/W2095440261","https://openalex.org/W2119246169","https://openalex.org/W2120185818","https://openalex.org/W2140468511","https://openalex.org/W2145574389","https://openalex.org/W2167101736","https://openalex.org/W2778203997","https://openalex.org/W2888985303","https://openalex.org/W2899088189","https://openalex.org/W2921873462","https://openalex.org/W2964278775","https://openalex.org/W2998216295","https://openalex.org/W3020885045","https://openalex.org/W3095201281","https://openalex.org/W3135028703","https://openalex.org/W3137925359","https://openalex.org/W3169201280","https://openalex.org/W3193886260","https://openalex.org/W3199260109","https://openalex.org/W4200553326","https://openalex.org/W4206238894","https://openalex.org/W4211060941","https://openalex.org/W4221107627","https://openalex.org/W4232478844","https://openalex.org/W4238927122","https://openalex.org/W4243667216","https://openalex.org/W4284899773","https://openalex.org/W4299689471","https://openalex.org/W4316663300","https://openalex.org/W4352976680","https://openalex.org/W4362716139","https://openalex.org/W4388115992","https://openalex.org/W4388637286","https://openalex.org/W4391021210","https://openalex.org/W4391882246","https://openalex.org/W4395015699","https://openalex.org/W4399693641","https://openalex.org/W4400955600","https://openalex.org/W4402230126","https://openalex.org/W4403336312","https://openalex.org/W4403338716","https://openalex.org/W4403483773","https://openalex.org/W4404024339","https://openalex.org/W4408348755","https://openalex.org/W4410266979","https://openalex.org/W6604424801","https://openalex.org/W6753980490","https://openalex.org/W6792510539","https://openalex.org/W6864506714","https://openalex.org/W6880537175","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Information":[0],"is":[1,79,109,148],"the":[2,12,26,31,44,84,99,114,121,135,157,163,168],"primary":[3],"driver":[4],"of":[5,15,28,33,87,94],"progress":[6],"in":[7,36,43,56,81,103,189],"today\u2019s":[8],"world,":[9],"especially":[10,188],"given":[11],"vast":[13],"amounts":[14],"data":[16,72,78],"available":[17,89],"for":[18,24,61,142],"extracting":[19],"meaningful":[20],"knowledge.":[21],"The":[22,92,106,146,171],"motivation":[23],"addressing":[25],"problem":[27],"forensic":[29,185],"analysis\u2014specifically":[30],"validity":[32],"decision":[34,144,160,186],"making":[35],"multi-criteria":[37,118],"contexts\u2014stems":[38],"from":[39],"its":[40],"limited":[41],"coverage":[42],"existing":[45],"literature.":[46],"Methodologically,":[47],"machine":[48,126],"learning":[49,127],"and":[50,134,150],"ensemble":[51,112],"models":[52],"represent":[53],"key":[54],"trends":[55],"this":[57,104],"domain.":[58],"Datasets":[59],"used":[60],"such":[62],"purposes":[63],"can":[64],"be":[65],"either":[66],"real":[67,77],"or":[68],"synthetic,":[69],"with":[70,83,167],"synthetic":[71],"becoming":[73],"particularly":[74],"valuable":[75],"when":[76],"unavailable,":[80],"line":[82],"growing":[85],"use":[86],"publicly":[88],"Internet":[90],"data.":[91],"integration":[93],"these":[95],"two":[96],"premises":[97],"forms":[98],"central":[100],"challenge":[101],"addressed":[102],"paper.":[105],"proposed":[107],"solution":[108],"a":[110,139,153,181],"three-layer":[111],"model:":[113],"first":[115],"layer":[116,123,137],"employs":[117],"decision-making":[119],"methods;":[120],"second":[122],"implements":[124],"multiple":[125],"algorithms":[128],"through":[129,152],"an":[130],"optimized":[131],"asymmetric":[132],"procedure;":[133],"third":[136],"applies":[138],"voting":[140],"mechanism":[141],"final":[143],"making.":[145],"model":[147],"applied":[149],"evaluated":[151],"case":[154],"study":[155],"analyzing":[156],"U.S.":[158],"Army\u2019s":[159],"to":[161,177,184],"replace":[162],"Colt":[164],"1911":[165],"pistol":[166],"Beretta":[169],"92.":[170],"results":[172],"demonstrate":[173],"superior":[174],"performance":[175],"compared":[176],"state-of-the-art":[178],"models,":[179],"offering":[180],"promising":[182],"approach":[183],"analysis,":[187],"data-scarce":[190],"environments.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
