RT Journal Article
T1 Ambiguity Measures for preference-based decision viwewpoints
A1 Franco De Los Ríos, Camilo A.
A1 Rodríguez González, Juan Tinguaro
A1 Montero De Juan, Francisco Javier
A1 Gómez González, Daniel
A1 Yager, Ronald R.
AB 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.
PB Springer Verlag
SN 0302-9743
YR 2019
FD 2019-03-07
LK https://hdl.handle.net/20.500.14352/12882
UL https://hdl.handle.net/20.500.14352/12882
LA eng
NO 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)
NO Ministerio de Ciencia, Innovación y Universidades (España)
NO Comunidad de Madrid
NO Universidad Complutense de Madrid
NO Carolina Foundation
DS Docta Complutense
RD 10 abr 2025