Abstract
Since crisp relations are too poor to represent the human way of reasoning, we often use fuzzy relations in preference modelling and multicriteria decision support. At the final stage, the decision maker expects a crisp answer to his problems. Many solutions have been proposed to perform this fuzziness dissolution step. In this paper, interval-valued preference structures are used to achieve this goal.
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Maes, K., De Baets, B. (2003). Extracting Strict Orders from Fuzzy Preference Relations. In: Bilgiç, T., De Baets, B., Kaynak, O. (eds) Fuzzy Sets and Systems — IFSA 2003. IFSA 2003. Lecture Notes in Computer Science, vol 2715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44967-1_31
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DOI: https://doi.org/10.1007/3-540-44967-1_31
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