The most sophisticated commonly used methods of risk assessment (used especially in the financial sector) involve building statistical models from historical data. Yet such approaches are inadequate when risks are rare or novel because there is insufficient relevant data. Less sophisticated commonly used methods of risk assessment, such as risk registers, make better use of expert judgement but...

Predictive scheduling is a new approach used in production planning. The aim of this approach is to develop robust schedules and solutions that are able to absorb disruptions during the schedule execution. In this paper, we present algorithms of predictive scheduling for the Resource-Constrained Project Scheduling Problem (RCPSP), with defined dates of selected activities.

We give a probabilistic analysis of inductive knowledge and belief explore its predictions concerning about the future, laws nature, values inexactly measured quantities. The combines theory formulated in terms relations comparative normality with reduction those relations. It predicts that only highly probable propositions are believed, many widely held principles belief-revision fail.

This thesis investigate a complex real world job shop scheduling / rescheduling problem, in which the presence of uncertainties and the occurrence of disruptions are tackled to produce efficient and reliable solutions. New orders arrive every day in the shop floor and they have to be integrated in the existent schedule. Match-up algorithms are introduced to collect the idle time on machines and...

Formal specification and verification of cyber-physical transportation systems is inherently a complex task. A fail-safe specification of such systems not only includes intricate formalizations of assumptions and requirements but also a fine-grained analysis of their unpredictable and random components, at times at different levels of abstraction. Traditional techniques of verification and vali...

A laboratoty experiment was used to evaluate the effects of interaction frequency on computer-mediated groups using a Group Support System to perfom an idea-generation task Group interaction is defined here as the length of time group members are allowed to form and input their connibutions and the related rate at which group members exchange their contributions. We found that frequently intera...

robust control design of vehicles addresses the effect of uncertainties on the vehicle’s performance. in present study, the robust optimal multi-objective controller design on a non-linear full vehicle dynamic model with 8-degrees of freedom having parameter with probabilistic uncertainty considering two simultaneous conflicting objective functions has been made to prevent the rollover. the obj...

We present a categorical framework to study probabilistic automata starting by obtaining aggregation and interconnection as universal constructions. We also introduce the notion of probabilistic behavior in order to get adjunctions between probabilistic behavior and probabilistic automata. Thus we are able to extend to the probabilistic setting free and minimal realizations as universal constru...

a reliability analysis of suspension bridges against buffeting failure due to gustiness of wind velocity is carried out using the concept of pra (probabilistic risk analysis) procedure. for this purpose, the bending stresses at the critical nodes of the bridge deck are obtained for buffeting forces using a spectral analysis technique and a finite element approach. for the purpose of reliability...

Coevolutionary techniques in combination with particle swarm optimization algorithms and neural networks have shown to be very successful in finding strong game playing agents for a number of deterministic games. This paper investigates the applicability of a PSO coevolutionary approach to probabilistic games. For the purposes of this paper, a probabilistic variation of the tic-tac-toe game is ...