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Fuzzy Sets and Systems - Special Double issue Fuzzy Set Theory in the USSR
Information Sciences: an International Journal
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Fuzzy Sets and Systems - Special issue on fuzzy relations, part 1
Fuzziness and randomness in an optimization framework
Fuzzy Sets and Systems
Fuzzy mathematical programming based on some new inequality relations
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Minimax chance constrained programming models for fuzzy decision systems
Information Sciences: an International Journal
On fuzzy-set interpretation of possibility theory
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Fuzzy mathematical programming
On the formalization of fuzzy random variables
Information Sciences: an International Journal - Fuzzy random variables
Programming Microsoft Office 2000 Web Components with Cdrom
Programming Microsoft Office 2000 Web Components with Cdrom
Uncertain Programming
Simulation, Knowledge-Based Computing, and Fuzzy Statistics
Simulation, Knowledge-Based Computing, and Fuzzy Statistics
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Fuzzy random chance-constrained programming
IEEE Transactions on Fuzzy Systems
Fuzzy random dependent-chance programming
IEEE Transactions on Fuzzy Systems
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Solving fuzzy (stochastic) linear programming problems using superiority and inferiority measures
Information Sciences: an International Journal
Information Sciences: an International Journal
Necessity constraint in two plant optimal production problem with imprecise parameters
Information Sciences: an International Journal
Information Sciences: an International Journal
Portfolio selection with fuzzy returns
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Information Sciences: an International Journal
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 and Industrial Engineering
The expected value models on Sugeno measure space
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Information Sciences: an International Journal
Robust portfolio selection using interval random programming
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
On the variability of the concept of variance for fuzzy random variables
IEEE Transactions on Fuzzy Systems
Fuzzy random age-dependent replacement policy
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Two-person zero-sum matrix game with fuzzy random payoffs
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Solving fractional programming problem through fuzzy goal setting and approximation
Applied Soft Computing
Expert Systems with Applications: An International Journal
Chance-constrained programming on sugeno measure space
Expert Systems with Applications: An International Journal
Fuzzy random chance-constrained programming for quantifying transmission reliability margin
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Convergence criteria and convergence relations for sequences of fuzzy random variables
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
A class of multiobjective linear programming model with fuzzy random coefficients
Mathematical and Computer Modelling: An International Journal
On chance maximization model in fuzzy random decision systems
Mathematical and Computer Modelling: An International Journal
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Fuzzy random variable is a measurable mapping from a probability space to a collection of fuzzy variables. This concept may be regard as an extension of both random variable and fuzzy variable. In this paper, the linearity of a scalar value expected value operator of fuzzy random variable is discussed, and a fuzzy random simulation approach is suggested to evaluate the expected value of a fuzzy random variable. In addition, three types of fuzzy random expected value models are presented to model fuzzy random decision systems. Moreover, a hybrid intelligent algorithm, which incorporates simulation, neural network and genetic algorithm, is designed in order to solve general fuzzy random expected value models. At the end of this paper, the effectiveness of this algorithm is showed via three numerical examples.