Abstract
In any inference, a certain amount of uncertainty is involved. In this Chapter, I do not intend to discuss the fine details of the philosophical arguments about uncertainty (for some detailed breakdowns of uncertainty, see for example Graham and Jones, 1988; Klir and Folger, 1988; Smithson, 1989). I, however, concentrate on the management of two major types of uncertainty in knowledge representation and inference. They are uncertainty due to randomness and uncertainty due to imprecision (see Leung, 1988a, Chapter 2, for a discussion).
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
© 1997 Springer-Verlag Berlin
About this chapter
Cite this chapter
Leung, Y. (1997). Management of Uncertainty in Knowledge Representation and Inference. In: Intelligent Spatial Decision Support Systems. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60714-1_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-60714-1_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-64521-1
Online ISBN: 978-3-642-60714-1
eBook Packages: Springer Book Archive