Uncertainty theory is an area in axiomatic mathematics recently proposed by Professor
Baoding Liu and aiming to deal with belief degrees. Retrieving 1004 journal articles from the …

In previous studies of shock models, the probability of shocks causing damage to the system
during operation is always constant. However, it is more practical for the system to become …

Uncertainty theory adopts the belief degree and uncertainty distribution to ensure good
alignment with a decision-maker's uncertain preferences, making the final decisions …

This paper studies the reliability for devices subject to independent competing failure
processes of degradation and shocks in an uncertain random environment. The continuous …

This paper presents an uncertain random multi-state k-out-of-n system (urm-k-out-of-n
system, for short), where both random components and uncertain components coexist …

Uncertainty theory provides an alternative to model human belief degree without the scope
of probability theory. Supposing that a response variable is an uncertain variable, the simple …

Uncertain multi-state k-out-of-n systems, as generalizations of uncertain binary k-out-of-n
systems, are investigated in this paper, of which the components could be in multiple states …

Covariance is a device to measure the joint variability of two uncertain random variables. If
the greater values of one uncertain random variable associated with the greater values of …

Uncertain fractional‐order differential equations driven by the Liu process are of significance
to depict the heredity and memory features of uncertain dynamical systems. This paper …

Based on the uncertainty of the system working environment, this paper models and
evaluates reliability for uncertain random cold standby k-out-of-m+ n: G systems with …