Abstract
Chapter 1 provided a first look at what grade methods do, how they work, why they are useful, and some of their applications. It was stated that grade methods use a different approach to the understanding of data than the traditional (i.e, non-grade) methods. Therefore, to understand grade methods it is important to understand their approach
The purpose of using grade methods is to understand the data.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Ruland, F. (2004). The Grade Approach. In: Kowalczyk, T., Pleszczyńska, E., Ruland, F. (eds) Grade Models and Methods for Data Analysis. Studies in Fuzziness and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39928-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-540-39928-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53561-1
Online ISBN: 978-3-540-39928-5
eBook Packages: Springer Book Archive