All countries have responded with a wide range of measures to stop the propagation coronavirus. We apply best tube interval data envelopment analysis, in order evaluate efficiency quarantine using imprecise data. Using Oxford COVID-19 Government Response Tracker’s (OxCGRT) and given method, we construct time series assessment government responses COVID-19. In addition, separate all examined int...

We are interested in understanding the relationship between Bayesian inference and evidence theory, in particular imprecise and paradoxical reasoning. The concept of a set of probability distributions is central both in robust Bayesian analysis and in some versions of Dempster-Shafer theory. Most of the literature regards these two theories as incomparable. We interpret imprecise probabilities ...

In real-time systems, a computation may not have time to complete its execution because of deadline requirements. In such cases. no result except the approximate results produced by the computation up to that point will be available. It is desirable to utilize these imprecise results if possible. We propose two approaches to enable computations to return imprecise results when executions cannot...

In this paper, we deal with fuzzy random variables for inputs andoutputs in Data Envelopment Analysis (DEA). These variables are considered as fuzzyrandom flat LR numbers with known distribution. The problem is to find a method forconverting the imprecise chance-constrained DEA model into a crisp one. This can bedone by first, defuzzification of imprecise probability by constructing a suitablem...