Accurate time series forecasting is a key issue to support individual and organizational
decision making. In this paper, we introduce novel methods for multi-step seasonal time …

The fuzzy transform (F-transform) has some interesting properties that allow its use in curve
fitting and smoothing. We suggest the following:(a) a generalization of fuzzy partitions for the …

The objective of this work is to associate the concepts of fuzzy rough sets and fuzzy
topologies/co-topologies with the F-transforms. The notions of the direct F^ ↑ F↑ and F^ ↓ …

In this paper, we consider the problem of solving systems of fuzzy relation equations. Two
types of these systems with different compositions are considered and processed …

In this paper, we describe an approach to modeling and forecasting time series that uses the
theory of evaluative linguistic expressions, fuzzy/linguistic IF–THEN rules and the fuzzy …

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 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 …

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 …

Investigating the relations between the least-squares approximation techniques and the
Fuzzy Transform, in this paper we show that the Discrete Fuzzy Transform is invariant with …

The Fuzzy transform is applied mainly to 1-D signals and 2-D data organized as a regular
grid (eg, 2-D images), thus, limiting its potential application to arbitrary data in terms of …