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State-of-the-art multi-criteria methods for supplier selection elicit the decision-maker\u2019s preferences among the criteria by processing pre-collected data from different stakeholders. We propose a different approach where the preferences are elicited through an active learning loop. At each step, the framework optimally solves a combinatorial problem multiple times with different weights assigned to the objectives. Afterwards, a pair of solutions among those computed is selected using a particular query selection strategy, and the decision-maker expresses a preference between them. These two steps are repeated until a specific stopping criterion is satisfied. We also introduce two novel fast query selection strategies, and we compare them with a myopically optimal query selection strategy. Computational experiments on a large set of randomly generated instances are used to examine the performance of our query selection strategies, showing a better computation time and similar performance in terms of the number of queries taken to achieve convergence. Our experimental results also show the usability of the framework for real-world problems with respect to the execution time and the number of loops needed to achieve convergence.<\/jats:p>","DOI":"10.1007\/s10479-021-04251-5","type":"journal-article","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T17:02:21Z","timestamp":1634835741000},"page":"609-640","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["A multi-objective supplier selection framework based on user-preferences"],"prefix":"10.1007","volume":"308","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9582-8278","authenticated-orcid":false,"given":"Federico","family":"Toffano","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michele","family":"Garraffa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiqing","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven","family":"Prestwich","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helmut","family":"Simonis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nic","family":"Wilson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,21]]},"reference":[{"key":"4251_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-29659-3","volume-title":"Recommender systems,","author":"CC Aggarwal","year":"2016","unstructured":"Aggarwal, C. 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