Fuzzy Uncertainty in Random Variable Generation: An α-Cut Approach

This paper presents a method for random variable generation based on \( \alpha \)-cuts. The proposed method uses convex fuzzy numbers with single-element core and uniformly distributed random numbers to obtain random variables, mainly used in simulation models.

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