Abstract
Fuzzy random variables are used when randomness is merged with imprecision described by fuzzy sets. When we need to use computer simulations for the comparison of a classical probabilistic approach with that based on fuzzy random variables we need to establish the method for the generation of crisp random variables compatible with existing fuzzy data. In the paper we consider this problem, and propose some practical solutions.
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Hryniewicz, O. (2015). Comparison of Fuzzy and Crisp Random Variables by Monte Carlo Simulations. In: Grzegorzewski, P., Gagolewski, M., Hryniewicz, O., Gil, M. (eds) Strengthening Links Between Data Analysis and Soft Computing. Advances in Intelligent Systems and Computing, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-319-10765-3_2
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DOI: https://doi.org/10.1007/978-3-319-10765-3_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10764-6
Online ISBN: 978-3-319-10765-3
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