Guest Editors:

Irina Perfilieva, University of Ostrava, Irina.Perfilieva@osu.cz

Vladik Kreinovich, University of Texas at El Paso, Vladik@utep.edu

Barnabas Bede, Digipen Institute of Technology, Bbede@digipen.edu

The fuzzy transform (F-transform) is a universal mathematical method that puts a bridge between fuzzy modeling and classical transforms (such as Fourier,

Laplace, integral, wavelet etc.). We distinguish zero and higher-degree F-transforms. The F-transform based applications vary from image processing to time series analysis and forecasting. Among the related techniques we can name fuzzy regression analysis, fuzzy relational calculus, (fuzzy) mathematical morphology.

The F-transform based technique is comprehensible and has low complexity in realization. All these facts make the F-transform based technique attractive for practitioners.

The special issue aims at further development of the theory of F-transforms and their advanced applications

We invite researchers to prepare contributions that are focused on (but not limited to)

the following topics:

 –      Analysis of various partitions and their influence of approximation properties (e.g., smoothness) of the F-transform,

–      Comparison of the F-transform with other related fuzzy modeling techniques,

–      Lattice-based F-transforms and mathematical morphology,

–      Numerical methods on the basis of the F-transform,

–      Applications of the F-transform and related techniques in data mining, image processing, time series analysis and forecasting,

–      Enhancement of existing applications,

Presentation of new special applications. 

Important dates:

Submission of (preliminary) titles and abstracts of contributions:

December 15, 2013

Submission of full papers: March 15-30, 2014

Submission of final papers after revision: September 30, 2014