{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T16:01:28Z","timestamp":1771948888292,"version":"3.50.1"},"reference-count":71,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T00:00:00Z","timestamp":1754438400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Information is the primary driver of progress in today\u2019s world, especially given the vast amounts of data available for extracting meaningful knowledge. The motivation for addressing the problem of forensic analysis\u2014specifically the validity of decision making in multi-criteria contexts\u2014stems from its limited coverage in the existing literature. Methodologically, machine learning and ensemble models represent key trends in this domain. Datasets used for such purposes can be either real or synthetic, with synthetic data becoming particularly valuable when real data is unavailable, in line with the growing use of publicly available Internet data. The integration of these two premises forms the central challenge addressed in this paper. The proposed solution is a three-layer ensemble model: the first layer employs multi-criteria decision-making methods; the second layer implements multiple machine learning algorithms through an optimized asymmetric procedure; and the third layer applies a voting mechanism for final decision making. The model is applied and evaluated through a case study analyzing the U.S. Army\u2019s decision to replace the Colt 1911 pistol with the Beretta 92. The results demonstrate superior performance compared to state-of-the-art models, offering a promising approach to forensic decision analysis, especially in data-scarce environments.<\/jats:p>","DOI":"10.3390\/sym17081254","type":"journal-article","created":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T13:25:11Z","timestamp":1754486711000},"page":"1254","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Modeling Based on Machine Learning and Synthetic Generated Dataset for the Needs of Multi-Criteria Decision-Making Forensics"],"prefix":"10.3390","volume":"17","author":[{"given":"Aleksandar","family":"Aleksi\u0107","sequence":"first","affiliation":[{"name":"Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7302-8328","authenticated-orcid":false,"given":"Radovan","family":"Radovanovi\u0107","sequence":"additional","affiliation":[{"name":"University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5390-4052","authenticated-orcid":false,"given":"Du\u0161an","family":"Joksimovi\u0107","sequence":"additional","affiliation":[{"name":"University of Criminal Investigation and Police Studies, 11080 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7229-2207","authenticated-orcid":false,"given":"Milan","family":"Ran\u0111elovi\u0107","sequence":"additional","affiliation":[{"name":"Science Technology Park, 18104 Ni\u0161, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vladimir","family":"Vukovi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3314-5794","authenticated-orcid":false,"given":"Slavi\u0161a","family":"Ili\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2008-4729","authenticated-orcid":false,"given":"Dragan","family":"Ran\u0111elovi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Diplomacy and Security, University Union-Nikola Tesla, 11000 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Aleksi\u0107, A., Nedeljkovi\u0107, S., Jovanovi\u0107, M., Ran\u0111elovi\u0107, M., Vukovi\u0107, M., Stojanovi\u0107, V., Radovanovi\u0107, R., Ran\u0111elovi\u0107, M., and Ran\u0111elovi\u0107, D. 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