A new perspective for optimal portfolio selection with random fuzzy returns
Information Sciences: an International Journal
Simulation of fuzzy random variables
Information Sciences: an International Journal
Multi-sample test-based clustering for fuzzy random variables
International Journal of Approximate Reasoning
A review of credibilistic portfolio selection
Fuzzy Optimization and Decision Making
Bootstrap approach to the multi-sample test of means with imprecise data
Computational Statistics & Data Analysis
Probabilistic fuzzy logic system: a tool to process stochastic and imprecise information
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
A probabilistic fuzzy logic system: learning in the stochastic environment with incomplete dynamics
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A probabilistic fuzzy approach to modeling nonlinear systems
Neurocomputing
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In this paper, we simulate different types of random fuzzy variables to get some conclusions concerning fuzzy-valued random variables. This simulation was carried out to illustrate certain limit results formalizing the convergence of the arithmetic mean of sampled fuzzy data to the population mean (or an expected value of the random fuzzy variable), like the well-known strong law of large numbers and the law of iterated logarithm. Since the theoretical results have recently been proved, this simulation analysis represents a complementary study in which we can determine sample sizes providing us with suitable approximations. Finally, future directions regarding statistical inference with fuzzy data and other applications are commented