Equality relations as a basis for fuzzy control
Fuzzy Sets and Systems
Operations fitting triangular-norm-based biresiduation
Fuzzy Sets and Systems - Special issue on triangular norms
Fuzzy if-Then Rules in Computational Intelligence: Theory and Applications
Fuzzy if-Then Rules in Computational Intelligence: Theory and Applications
Normal forms in BL and ŁΠ algebras of functions
Soft Computing - A Fusion of Foundations, Methodologies and Applications
On fuzzy equality and approximation in fuzzy logic
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Fuzzy transforms: Theory and applications
Fuzzy Sets and Systems
Transactions on Rough Sets II
From a Gaussian mixture model to additive fuzzy systems
IEEE Transactions on Fuzzy Systems
Compression and decompression of images with discrete fuzzy transforms
Information Sciences: an International Journal
A segmentation method for images compressed by fuzzy transforms
Fuzzy Sets and Systems
Fuzzy transforms method and attribute dependency in data analysis
Information Sciences: an International Journal
Fuzzy transforms for compression and decompression of color videos
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
Fuzzy transforms method in prediction data analysis
Fuzzy Sets and Systems
A smoothing filter based on fuzzy transform
Fuzzy Sets and Systems
Approximation properties of fuzzy transforms
Fuzzy Sets and Systems
Supporting trading strategies by inverse fuzzy transform
Fuzzy Sets and Systems
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In this paper, we recall a class of approximating formulas. Since they arose as a generalization of classical normal forms we denote them by the same term. Moreover, we will show that the fuzzy transform (F-transform) introduced in [Perfilieva, I., Fuzzy approach to solution of differential equations with imprecise data: application to reef growth problem, in: R.V. Demicco, G.J. Klir (Eds.), Fuzzy Logic in Geology, Academic Press, Amsterdam, 2003, pp. 275-300 (Chapter 9), Perfilieva, I., Fuzzy transforms, in: J.F. Peters, A. Skowron (Eds.), Transactions on Rough Sets II. Rough Sets and Fuzzy Sets, Lecture Notes in Computer Science, vol. 3135, 2004, pp. 63-81] as an approximation method for continuous functions can be viewed as a particular case of normal form. Therefore, the results valid for normal forms may be applied to F-transforms as well.