Franco De Los Ríos, Camilo A.Rodríguez González, Juan TinguaroMontero De Juan, Francisco JavierGómez González, DanielYager, Ronald R.2023-06-172023-06-172019-03-07Franco, C., Rodríguez, J.T., Montero, J., Gómez, D., Yager, R.R.: Ambiguity Measures for Preference-Based Decision Viewpoints. En: Seki, H., Nguyen, C.H., Huynh, V.-N., y Inuiguchi, M. (eds.) Integrated Uncertainty in Knowledge Modelling and Decision Making. pp. 38-49. Springer International Publishing, Cham (2019)0302-974310.1007/978-3-030-14815-7_4https://hdl.handle.net/20.500.14352/12882This paper examines the ambiguity of subjective judgments, which are represented by a system of pairwise preferences over a given set of alternatives. Such preferences are valued with respect to a set of reasons, in favor and against the alternatives, establishing a complete judgment, or viewpoint, on how to solve the decision problem. Hence, viewpoints entail particular decisions coming from the system of preferences, where the preference-based reasoning of a given viewpoint holds according to its soundness or coherence. Here we explore such a coherence under the frame of ambiguity measures, aiming at learning viewpoints with highest preference-score and minimum ambiguity. We extend existing measures of ambiguity into a multi-dimensional fuzzy setting, and suggest some future lines of research towards measuring the coherence or (ir)rationality of viewpoints, exploring the use of information measures in the context of preference learning.engjournal articlehttps//doi.org/10.1007/978-3-030-14815-7_4https://link.springer.com/chapter/10.1007/978-3-030-14815-7_4open access510.64519.8AmbiguityFuzzinessRationalityPreference structuresEstadística matemática (Matemáticas)Investigación operativa (Matemáticas)1209 Estadística1207 Investigación Operativa