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2017 | OriginalPaper | Chapter

Fuzzy Uncertainty in Random Variable Generation: A Cumulative Membership Function Approach

Authors : Diana Giseth Pulido-López, Mabel García, Juan Carlos Figueroa-García

Published in: Applied Computer Sciences in Engineering

Publisher: Springer International Publishing

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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.

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Footnotes
1
This expression denotes a fuzzy measurement of an event occurs treated as the Possibility (Ps).
 
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Metadata
Title
Fuzzy Uncertainty in Random Variable Generation: A Cumulative Membership Function Approach
Authors
Diana Giseth Pulido-López
Mabel García
Juan Carlos Figueroa-García
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-66963-2_36

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