Abstract
In this paper, a new methodology for ranking the attributes of a given decision table is proposed. It is a combination of discernibility relations in rough set theory and decision-making methods based on interval-valued fuzzy sets. Several acceleration methods based on randomized techniques are also presented to reduce the time complexity of the proposed methodology. The experiment results shows that the proposed methods are very up-and-coming.
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Vo, B.K., Nguyen, H.S. (2023). Application of Interval Valued Fuzzy Sets in Attribute Ranking. In: Huynh, VN., Le, B., Honda, K., Inuiguchi, M., Kohda, Y. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2023. Lecture Notes in Computer Science(), vol 14375. Springer, Cham. https://doi.org/10.1007/978-3-031-46775-2_6
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