Abstract: The lecture proposes an axiomatic characterization of the measure risk in a systemic vision and framework for quantifying variability of exposure and risk in dependable systems via probabilistic approach by means of Monte Carlo method.
Identifying the hierarchy of risks associated with hazardous activities provides a basis for analytic, deliberative decision-making in the business process, where stakeholders have to select a variant of several possible on the basis of multiple (sometimes contradictory) criteria. Due to the random, collateral factors, the risk is present in any sociotechnical system. The risk regarded as a potential danger is a result of action which has the probability to not fulfill the proposed function of the system.
In a systemic interpretation, the risk is characterized by a set of uncertain events consisting of independent input and dependent output elements variables of the system components. Independent events are sources of disturbance for the dynamic system, acting as generators of uncertainty. Using virtual-reality tools, the simulation that validates the effectiveness of the model can assist human operators in different phases of system.


Brief Biography of the Speaker:
Gabriela Tont is an Associate Professor at the Department of Electrical Engineering, Measurements and Electric Power Use, Faculty of Electrical Engineering and Information Technology, University of Oradea. She has earned her Ph.D from the Technical University Cluj Napoca, Faculty of Electrical Engineering. Her research areas relate to applied statistics in the complex systems, currently focusing on the aspects of error analysis and optimal control of safety critical systems. She has published 7 books in the field of reliability of systems and quality management. Gabriela Tont is the author of more than 110 papers in revues, scientific journals and international conference proceedings in those areas. She is participant and reviewer for several WSEAS International Conferences.

Read More