A Class of Random Fuzzy Programming and Its Hybrid PSO Algorithm
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Particle Swarm Optimization for Two-Stage FLA Problem with Fuzzy Random Demands
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Computers & Mathematics with Applications
Fuzzy random renewal process with queueing applications
Computers & Mathematics with Applications
Modeling data envelopment analysis by chance method in hybrid uncertain environments
Mathematics and Computers in Simulation
Some properties of expected value operators of fuzzy variables and fuzzy random variables
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
A new Chance-Variance optimization criterion for portfolio selection in uncertain decision systems
Expert Systems with Applications: An International Journal
Semivariance criteria for quantifying the choice among uncertain outcomes
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Fuzzy stochastic data envelopment analysis with application to base realignment and closure (BRAC)
Expert Systems with Applications: An International Journal
Chance-constrained DEA models with random fuzzy inputs and outputs
Knowledge-Based Systems
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Fuzzy random vector is a measurable map from a probability space to a collection of fuzzy vectors. Our aim in this paper is to discuss the measurability criteria for fuzzy random vectors, and show that under mild assumption, the measurability criteria for upper semicontinuous fuzzy random vectors can be expressed in several different but equivalent formulations. Finally, applying the obtained results, we resolve an open problem about the relationship between fuzzy random vectors and fuzzy random variables.