Considerable research has been done in order to schedule tasks to a multiple processing systems. Some of the computation time of these tasks may, however, be imprecise due to the nature of the problem. In this paper, an imprecise task graph is used to model the problem where each node represents a task associated with its computation time. An algorithm, called rotation scheduling, is extended t...

In this paper, we try to shed some light on the relationship between imprecision in spatial reasoning systems and its impact on the complexity of the reasoning algorithms. Intuitively, reasoning about spatial descriptions should be easier if less precision is required. However, we claim that in general the introduction of imprecision does not improve the efficiency of the algorithms but rather ...

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...

We propose an algorithm for calculating interval estimates for download times, based on an imprecise version of the linear regression algorithm and a discounted imprecise