Traditional scenario of probabilistic modelling is directed at generating samples having a given probability distribution. We argue that this scenario is impracticable for image m...
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Robust decision support systems (DSSs) for crime investigation are difficult to construct because of the almost infinite variation of plausible crime scenarios. Thus, existing ap...
Modern approaches in software development propose the use of software architectures to help handle the complexity of large software system developments. An important technique to ...
Scenarios and goals are effective techniques for requirements definition. Goals are objectives that a system has to meet. They are elaborated into a structure that decomposes decla...