2024-03-29T09:39:34Zhttp://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/405492021-07-15T09:16:15Zcom_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
Este trabajo forma parte del proyecto de investigación con financiación nacional: MEC-FEDER Grant ECO2016-77900-P
application/pdf
eng
Springer
info:eu-repo/semantics/openAccess
Springer
Time cohesiveness measure. Dichotomous opinions. Preference stability. Patients’ preferences
Preference stability along time: the time cohesiveness measure
info:eu-repo/semantics/article
info:eu-repo/semantics/draft
https://doi.org/10.1007/s13748-017-0119-3
SI