… The advantage of function approximation is that the uncertainty does need to be modeled.
The NN can approximate generic nonlinear continuous functions. Any continuous function can …

… for decision under ignorance with the maximum expected utility principle of Bayesian decision
theory. A … Methods developed in the imprecise probability framework are applicable in the …

… Value-function approximation methods that … theoretical results towards answering the above
questions, and make steps towards a deeper understanding of value-function approximation…

… presents the conceptual framework of the decisionmaking phenomenon, which is apparently
almost universal among decision-making studies and which explains how decision-making …

… So this paper will propose a more general framework of three-way decisions with IVDTRSs
… some knowledge of interval analysis and the framework of decision-theoretic rough sets. …

… making, in accordance with the multi-granularity three-way decisions paradigm, …
decision-theoretic rough sets (MG-DTRSs) into the HFL background within the two-universe …

… Three-way decisions theory has been developed and applied to decision making in … They
further proposed incremental approaches for rough approximation updating and decision rules …

… thoroughly analyze our framework’s theoretical foundation by … , cooperative game theory and
information theory are intimately … several alternative choices approximate this approach and …

… theory for it For example, in the decision theoretic framework, if most hypotheses arc disjoint
and most observations arc conditionally independent, then it is very helpful to be able to …

… It has been axiomatically justified in a decisiontheoretic framework in the style of Savage, …
for qualitative decision theory. Quantitative possibility theory is the simplest framework for …