Abstract
This paper presents a method for random variable generation based on the cumulative membership function. The proposed method uses fuzzy numbers and uniformly distributed random numbers to obtain a random variable, mainly used in simulation models.
D.G. Pulido-López—Undergraduate student at the Universidad Distrital Francisco José de Caldas, Bogotá - Colombia.
M. García—Undergraduate student at the Universidad Distrital Francisco José de Caldas, Bogotá - Colombia.
J.C. Figueroa-García—Assistant Professor at the Universidad Distrital Francisco José de Caldas, Bogotá - Colombia.
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Notes
- 1.
This expression denotes a fuzzy measurement of an event occurs treated as the Possibility (Ps).
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Pulido-López, D.G., García, M., Figueroa-García, J.C. (2017). Fuzzy Uncertainty in Random Variable Generation: A Cumulative Membership Function Approach. In: Figueroa-García, J., López-Santana, E., Villa-Ramírez, J., Ferro-Escobar, R. (eds) Applied Computer Sciences in Engineering. WEA 2017. Communications in Computer and Information Science, vol 742. Springer, Cham. https://doi.org/10.1007/978-3-319-66963-2_36
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DOI: https://doi.org/10.1007/978-3-319-66963-2_36
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