{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T11:16:50Z","timestamp":1774610210307,"version":"3.50.1"},"posted":{"date-parts":[[2026]]},"group-title":"SSRN","reference-count":0,"publisher":"Elsevier BV","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>To select a solution from the Pareto set is not a current practice and doing it on empirical\u00a0or expert sensitivity base is not recommendable. A robust approach is proposed to help the\u00a0decision-maker in selecting a solution from the Pareto set. The approach involves applying\u00a0various multi-criteria decision-making methods to select a Pareto-optimal solution that\u00a0optimises four key properties: bias, predictions quality, resilience and robustness. By using\u00a0various sets of weights, this approach considers the inherent uncertainty in the decisionmaker\u2019spreferences. Solutions discrimination and validation is made with the Sum of\u00a0Ranking Differences technique, which enables to prune the Pareto solutions and to identify\u00a0the best one from a statistical point of view. A case study demonstrates the proposed\u00a0approach usefulness.<\/jats:p>","DOI":"10.2139\/ssrn.6478022","type":"posted-content","created":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T10:38:02Z","timestamp":1774607882000},"source":"Crossref","is-referenced-by-count":0,"title":["On the Selection of a Pareto Solution \u2013 A Robust Approach"],"prefix":"10.2139","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6039-8143","authenticated-orcid":true,"given":"Nuno","family":"Costa","sequence":"first","affiliation":[]},{"given":"Jo\u00e3o","family":"Louren\u00e7o","sequence":"additional","affiliation":[]}],"member":"78","container-title":[],"original-title":[],"deposited":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T10:38:02Z","timestamp":1774607882000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ssrn.com\/abstract=6478022"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":0,"URL":"https:\/\/doi.org\/10.2139\/ssrn.6478022","relation":{},"subject":[],"published":{"date-parts":[[2026]]},"subtype":"preprint"}}