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oai:uvadoc.uva.es:10324/405492025-02-07T13:36:00Zcom_10324_1151com_10324_931com_10324_894col_10324_1278

González Arteaga, María Teresa Andrés Calle, Rocío De Peral, Marta 2020-02-27T13:09:20Z 2020-02-27T13:09:20Z 2017 Progress in Artifitial Intelligence, 2017, vol. 6, p. 235–244. 2192-6352 http://uvadoc.uva.es/handle/10324/40549 10.1007/s13748-017-0119-3 235 3 244 Progress in Artificial Intelligence 6 2192-6360 This work introduces a non-traditional perspective about the problem of measuring the stability of agents’ preferences. Specifically, the cohesiveness of preferences at different moments of time is explored under the assumption of considering dichotomous evaluations. The general concept of time cohesiveness measure is introduced as well as a particular formulation based on the consideration of any two successive moments of time, the sequential time cohesiveness measure. Moreover, some properties of the novel measure are also provided. Finally, and in order to emphasize the adaptability of our proposal to real situations, a factual case of study about clinical decision-making is presented. Concretely, the study of preference stability for life-sustaining treatments of patients with advanced cancer at end of life is analysed. The research considers patients who express their opinions on three life-sustaining treatments at four consecutive periods of time. The novel measure provides information of patients preference stability along time and considers the possibility of cancer metastases eng info:eu-repo/semantics/openAccess Springer Preference stability along time: the time cohesiveness measure info:eu-repo/semantics/article