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In Multi-Criteria Decision Making (MCDM), decisions are based on several criteria that are usually conflicting and non-homogenously satisfied. Non-additive (fuzzy) measures along with the Choquet integral can model and aggregate the levels of satisfaction of these criteria by considering their relationships. However, in practice, it is difficult to identify such fuzzy measures. An automated process...
In Multi-Criteria Decision Making (MCDM), decisions are based on several criteria that are usually conflicting and non-homogenously satisfied. Non-additive (fuzzy) measures along with the Choquet integral can model and aggregate the levels of satisfaction of these criteria by considering their relationships. However, in practice, it is difficult to identify such fuzzy measures. An automated process...
Grey model and Markov chain are integrated to forecast the tendency of saturation or sigmoid where the precision testified in the case is much more accurate than that of other methods. Thus, the combination forecasting model applies to predict things concretely combined with highway passenger volume development in Guangdong province. Proved in theory and practice, the forecast results not only are...
The aim of this paper is to present a theoretically sound approach to evaluate the impact of an attack on a computer system. However, let us note that this approach is general enough to be applied to any critical infrastructure. More specifically, we propose to use fuzzy measures and integrals, in a decision-theoretic setting to measure the consequences of an attack on a computer network. Any computer...
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