Abstract
The quality-related characteristics cannot sometimes be represented in numerical form, such as characteristics for appearance, softness, color, etc. In this case fuzzy set theory can handle this problem. This chapter develops fuzzy control charts for linguistic data. Later, unnatural pattern analyses are made using the probability of a fuzzy event. Unnaturalness of the linguistic data is searched with an intelligent data mining procedure.
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Rights and permissions
About this chapter
Cite this chapter
Gülbay, M., Kahraman, C. Fuzzy Process Control with Intelligent Data Mining. In: Ruan, D., Chen, G., E. Kerre, E., Wets, G. (eds) Intelligent Data Mining. Studies in Computational Intelligence, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11004011_16
Download citation
DOI: https://doi.org/10.1007/11004011_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26256-5
Online ISBN: 978-3-540-32407-2
eBook Packages: EngineeringEngineering (R0)