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Ambiguity Measures for preference-based decision viwewpoints



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Franco, Camilo and Rodríguez, J. Tinguaro and Montero, Javier and Gómez, Daniel and Yager, Ronald R. (2019) Ambiguity Measures for preference-based decision viwewpoints. Lecture Notes in Computer Science, 11471 . pp. 38-49. ISSN 0302-9743

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Official URL: 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.

Item Type:Article
Uncontrolled Keywords:Ambiguity, Fuzziness, Rationality, Preference structures
Subjects:Sciences > Mathematics > Mathematical statistics
Sciences > Mathematics > Operations research
ID Code:74558
Deposited On:14 Sep 2022 08:46
Last Modified:14 Sep 2022 09:23

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