Fuzzy Sets and Systems
A strong law of large numbers for fuzzy random sets
Fuzzy Sets and Systems
On the variance of fuzzy random variables
Fuzzy Sets and Systems
On the formalization of fuzzy random variables
Information Sciences: an International Journal - Fuzzy random variables
Simulation, Knowledge-Based Computing, and Fuzzy Statistics
Simulation, Knowledge-Based Computing, and Fuzzy Statistics
Strong consistency of least-squares estimation in linear regression models with vague concepts
Journal of Multivariate Analysis
Limit distributions of least squares estimators in linear regression models with vague concepts
Journal of Multivariate Analysis
Simulation of fuzzy random variables
Information Sciences: an International Journal
Information Sciences: an International Journal
Bootstrap approach to the multi-sample test of means with imprecise data
Computational Statistics & Data Analysis
On the variability of the concept of variance for fuzzy random variables
IEEE Transactions on Fuzzy Systems
On the completions of fuzzy number space with respect to sendograph metric
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
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The classes of the Lp,∞- and Lp-metrics play an important role to develop a probability theory in fuzzy sample spaces. All of these metrics are known to be separable, but not complete. The classes are closely related as for each Lp,∞-metric there exists some Lp-metric which induces the same topology. This paper deals with the completion of the Lp,∞- and Lp-metrics. We can also show that the relationship between the classes of Lp,∞- and Lp-metrics still holds for the obtained respective classes of their completions.