Abstract
In this book we restrict our attention to numerical methods that are based on measure-theoretic concepts. Logical approaches to uncertainty and vagueness are not treated, and due to space limitations we shall not present concepts such as probabilistic logic within the book. Although one could argue that probabilistic logic is also a numerical method, we regard it is more as a combination of a calculus for uncertainty handling and a logical calculus, but not as a pure measure-theoretic concept.
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
© 1991 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kruse, R., Schwecke, E., Heinsohn, J. (1991). Related Research. In: Uncertainty and Vagueness in Knowledge Based Systems. Artificial Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76702-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-76702-9_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-76704-3
Online ISBN: 978-3-642-76702-9
eBook Packages: Springer Book Archive