While the rapid development of information technology has made easy to store and access
the huge amount of data, it also brings another problem, that of how to extract potentially …

The term" fuzzy logic," as it is understood in this book, stands for all aspects of representing
and manipulating knowledge based on the rejection of the most fundamental principle of …

This paper explores the current state of the task of generating easily understandable
information from data for people using natural language, which is currently addressed by …

Classical (fuzzy) rough sets exhibit sensitivity to noise, which is particularly undesirable for
machine learning applications. One approach to solve this issue is by making use of fuzzy …

The development of information technology has had a significant impact on various areas of
human activity, including medicine. It has led to the emergence of the phenomenon of …

In this paper we provide a general approach for the concepts and processes related to the
generation of linguistic descriptions of time series. As we will see, this approach consists of …

In this paper, we propose a framework for the automatic generation of natural language
descriptions of healthcare processes using quantitative and qualitative data and medical …

The fuzzy natural logic (FNL) is a formal theory whose goal is to provide a mathematical
model of natural human reasoning whose typical feature is the use of natural language. One …

Looking for associations in data is one of the data mining tasks that has aroused more
interest in the literature. In this area, incorporating concepts of fuzzy set theory is useful in …

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 …