Provides a unique and methodologically consistent treatment of various areas of fuzzy
modeling and includes the results of mathematical fuzzy logic and linguistics This book is …

A new methodology for the analysis and forecasting of time series is proposed. It directly
employs two soft computing techniques: the fuzzy transform and the perception-based …

In this paper, we focus on application of fuzzy transform (F-transform) to analysis of time
series under the assumption that the latter can be additively decomposed into trend-cycle …

This paper is devoted to reasoning about fuzzy logic which is based on various personal
observations of the author. Our goal is to think of the state of the art in mathematical fuzzy …

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 …

The goal of this paper is to provide an overview of applications of special soft computing
theories—the fuzzy transform and fuzzy natural logic—to analysis, forecasting and mining …

One of the often repeated proclaims appearing in the papers on fuzzy sets and fuzzy logic is
their ability to model semantics of some linguistic expressions so that the inherent …

In this paper, we provide a theoretical justification for the application of higher degree fuzzy
transform in time series analysis. We demonstrate that the higher degree fuzzy transform …

Managerial decision-making is a complex procedure which combines information both in
numerical as well as in linguistic form. In this paper, we present a general decision-making …

In this paper, we introduce the concept of probabilistic fuzzy linguistic description to the
theory of fuzzy natural logic. This is to integrate the probabilistic uncertainty to the standard …