Strongly almost convergence for a sequence of complex uncertain random variables with respect to chance measure

A complex uncertain random variable is a measurable function from a chance space as a product of probability and uncertainty ones to the set of complex numbers and is a device to model uncertain random phenomena with complex quantity. The main aim of this article is to present the concept of strongly almost convergence for complex uncertain random sequences, including almost surely, chance measure, mean, and chance distribution. The relations among strongly almost convergence concepts are induced by a number of imperative conditions. In extension, for laying out of strongly almost convergence types, a few examples are determined. At long final, a portion of counterexamples around associations between strongly almost convergence notions are communicated.