Abstract
Model construction and application presuppose good reasoning methods. The conventional quantitative approaches are often bivalent and/or mathematical in nature. Qualitative methods, in turn, may apply subjective and approximate methods, such as interpretation, but they are based on conventional reasoning approaches. Due to these features, the quantitative models may be too coarse and/or complicated, whereas the qualitative models lack good applications in a computer environment.
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 Berlin Heidelberg
About this chapter
Cite this chapter
Niskanen, V.A. (2004). Approximate Reasoning. In: Soft Computing Methods in Human Sciences. Studies in Fuzziness and Soft Computing, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36421-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-36421-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05592-8
Online ISBN: 978-3-540-36421-4
eBook Packages: Springer Book Archive