Abstract
In the previous chapters the decision problems for non-deterministic plants with different descriptions of the uncertainty (different forms of the knowledge representation) have been considered. The typical procedure of finding the deterministic decision algorithm has been as follows:
-
1.
The determination of the non-deterministic decision algorithm (the knowledge of the decision making KD) using the knowledge of the plant KP and the requirement concerning the output of the plant.
-
2.
The determination of the deterministic decision algorithm by applying a determinization of KD.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag London
About this chapter
Cite this chapter
Bubnicki, Z. (2004). Parametric Optimization of Decision Systems. In: Analysis and Decision Making in Uncertain Systems. Communications and Control Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-3760-3_9
Download citation
DOI: https://doi.org/10.1007/978-1-4471-3760-3_9
Publisher Name: Springer, London
Print ISBN: 978-1-84996-909-3
Online ISBN: 978-1-4471-3760-3
eBook Packages: Springer Book Archive