from a set of probable trusted agents. In this paper, we propose a fuzzy risk based decision making system that would …

The paper deals with application of fuzzy AHP method in multicriteria decision making. The decision on the final goal … is made considering the weights of criteria and alternatives. Application of fuzzy AHP was demonstrated on selecting …. In the analysis under imprecision judgements, the criteria weights are presented as triangular fuzzy numbers to get more …

This report introduces a novel approach to performing inference and learning in Dynamic Bayesian Networks (DBN). The … traditional approach to inference and learning in DBNs involves conditioning on one or more finite-length observation sequences … solving inference problems (i.e., computing P(X|Φ)) and learning problems (i.e., computing P(Θ|Φ)) using techniques from the …

leads to biased estimates and adversely affects inference if ignored. In the literature, often convenient distribution … ignored entirely. In this thesis, ways to estimate the parameters of the Ricker model and perform inference while accounting … investigated for data on the abundance and log-abundance scales, and how inference is done via the parametric bootstrap and …