Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
A survey of credibility theory
Fuzzy Optimization and Decision Making
Chance measure for hybrid events with fuzziness and randomness
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Uncertainty Analysis and Decision Making; Guest Editors: Yan-Kui Liu, Baoding Liu, Jinwu Gao
Some inequalities of random fuzzy variableswith application to moment convergence
Computers & Mathematics with Applications
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Existence and uniqueness theorem for uncertain differential equations
Fuzzy Optimization and Decision Making
Mean-risk model for uncertain portfolio selection
Fuzzy Optimization and Decision Making
Inequalities and mathematical properties of uncertain variables
Fuzzy Optimization and Decision Making
Optimal multinational capital budgeting under uncertainty
Computers & Mathematics with Applications
Mean-variance models for portfolio selection subject to experts' estimations
Expert Systems with Applications: An International Journal
Relations among convergence concepts of uncertain sequences
Information Sciences: an International Journal
Variation analysis of semi-canonical process
Mathematical and Computer Modelling: An International Journal
Short communication: A note on truth value in uncertain logic
Expert Systems with Applications: An International Journal
No-arbitrage determinant theorems on mean-reverting stock model in uncertain market
Knowledge-Based Systems
A risk index model for portfolio selection with returns subject to experts' estimations
Fuzzy Optimization and Decision Making
On comonotonic functions of uncertain variables
Fuzzy Optimization and Decision Making
A numerical method for solving uncertain differential equations
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Uncertain variables are measurable functions from uncertainty spaces to the set of real numbers. In this paper, a new kind of convergence, convergence uniformly almost surely (convergence uniformly a.s.), is presented. Then, relations between convergence uniformly almost surely and convergence almost surely (convergence a.s.), convergence in measure, convergence in mean, and convergence in distribution are discussed.