We present a prediction method based on Fuzzy transforms for forecasting problems and we
compare it with the well known Wang–Mendel's one. Another comparison is made on the …

In this paper, a fuzzy-based paradigm for data compression aimed at reducing the
computational burden of data analysis in smart grids (SGs) is proposed. In the SG context, it …

In this paper we describe a segmentation method applied to images which are compressed
by using Fuzzy Transforms. The segmentation of the images is realized via the FGFCM (Fast …

We enlarge the class of fuzzy transforms (F-transforms) by considering different types of
fuzzy partitions. New types of F-transforms are constructed based on B-splines, Shepard …

In this paper, we present a method based on fuzzy transforms to establish dependencies
between numerical attributes in datasets. We find the best fuzzy partitions of the attribute …

In wireless sensor networks a large amount of data is collected for each node. The
challenge of transferring these data to a sink, because of energy constraints, requires …

In foregoing papers we have used the compression/decompression method of images
based on the concept of discrete fuzzy transform (and its inverse) of a function f defined on a …

Joining data compression and encryption is a way to keep secure data, as discussed by the
current literature. While data compression responds to the great demand on data storage …

We use fuzzy transforms for coding/decoding color frames of videos and we compare the
results with the same frames reconstructed with the standard JPEG method. We classify all …

The fundamental concept in the theory of fuzzy transform (F-transform) is the fuzzy partition,
which is a generalization of the classical concept of partition. The original definition assumes …