In this paper we consider a complete fuzzy preference structure, defined by means of a constructive approach associated to the necessary learning process in a decision making problem. Preference relations are successively assigned over a given set of alternatives with the possibility of revision and rectification, subject to a certain set of beliefs which sustain the construction of different viewpoints. Measures of information are then considered in this process for a formal identification of uncertainty due to ignorance, a concept that is closely related to ambiguity as defined by Fishburn (1993). Finally, a coherence criterion is proposed in order to study the importance of preferences, in such a way that an indirect and comparative analysis between them is needed so outcomes may be coherently organized. © Springer-Verlag Berlin Heidelberg 2010.
CITATION STYLE
de los Ríos, C. A. F., Montero, J., & Rodríguez, J. T. (2010). Rectification of Preferences in a Fuzzy Environment. In Communications in Computer and Information Science (Vol. 80 PART 1, pp. 168–178). https://doi.org/10.1007/978-3-642-14055-6_18
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