Uncertainty handling in multi-attribute decision support for industrial risk management

摘要: The complexity of today's industrial production networks constitutes a new challenge for risk and safety management. In order to handle potential risks emanating from industry their respective impact on mankind as well the environment, an integrated approach management is needed, since complex decision situations need be resolved requiring input diverse scientific disciplines consideration various often conflicting criteria. Providing basis evaluation such criteria bringing together existing knowledge different disciplines, approaches Multi-Criteria Decision Analysis (MCDA) can very helpful resolve occurring situations. In address types uncertainty, which may arise in making process management, framework uncertainty handling proposed. On structured classification, methods based Monte Carlo simulation used consistent modelling, propagation visualisation uncertainty. Special focus put that allow explicitly illustrate spread, i.e. ranges Multi-Attribute Making (MADM) results vary consequence uncertainties.