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Franco De Los Ríos, Camilo A. Rodríguez González, Juan Tinguaro Montero De Juan, Francisco Javier Gómez González, Daniel Yager, Ronald R. 2023-06-17T12:44:43Z 2023-06-17T12:44:43Z 2019-03-07 Franco, 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) 0302-9743 10.1007/978-3-030-14815-7_4 https://hdl.handle.net/20.500.14352/12882 https//doi.org/10.1007/978-3-030-14815-7_4 https://link.springer.com/chapter/10.1007/978-3-030-14815-7_4 This 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. eng open access Ambiguity Measures for preference-based decision viwewpoints journal article