FTA 2013 - Special Session on Fuzzy Transform And Its Applications

Organizers: Irina Perfilieva, Petra Hodakova
The original motivation for the fuzzy (F-) transform came
from fuzzy modeling. It is a universal mathematical method that replaces modeling with fuzzy IF-THEN rules by modeling in a linear space induced by fuzzy partitions. Most applications of the F-transform are realized in data and image processing: time series analysis and forecasting, image fusion, compression, reduction, magnification and reconstruction are their successful examples. The first degree F-transform has been successfully used in, e.g., edge detection.
The aim of this special session is to present recent developments and trends in the F- (and similar) transforms. We expect that this special session will collect the fundamental and theoretical results, show other than above mentioned applications and overview the existing ones.