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oai:gredos.usal.es:10366/1594562025-04-30T20:05:14Zcom_10366_4283com_10366_4200com_10366_3946com_10366_3823col_10366_4284

Cascón Barbero, José Manuel González Arteaga, María Teresa Andrés Calle, Rocío de 2024-09-05T09:58:03Z 2024-09-05T09:58:03Z 2022 Cascón, J. M., González-Arteaga, T., & De Andrés Calle, R. (2022). A new preference classification approach: The λ -dissensus cluster algorithm. Omega, 111, 102663. https://doi.org/10.1016/j.omega.2022.102663 0305-0483 http://hdl.handle.net/10366/159456 10.1016/j.omega.2022.102663 [EN] Preferences and their classification are essential in many decision making processes. However, grouping preferences is not an easy matter because their very nature. In this paper a new preference clustering algorithm is proposed that incorporates the key features of preferences, usually represented by order vectors, and it takes ideas from Social Choice Theory, Decision Making Theory and Cluster Analysis as sources of inspiration. Additionally, a study of the main properties of our proposal is included as well as several internal validation measurements. Finally and in order to improve understanding of the proposed approach, assorted experiments on real data are included. eng https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Attribution-4.0 Internacional Preferences Weak orders Preference grouping Preference cohesion Clustering for orders vectors A new preference classification approach: The λ-dissensus cluster algorithm info:eu-repo/semantics/article