“Is there a need for fuzzy logic?” is an issue which is associated with a long history of spirited
discussions and debate. There are many misconceptions about fuzzy logic. Fuzzy logic is …

In this first chapter of Part I, we discuss families of fuzzy implications obtained from binary
operations on the unit interval [0, 1], ie, from basic fuzzy logic connectives, viz., t-norms, t …

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 …

In this paper, a logical theory of the, so-called, trichotomous evaluative linguistic expressions
(TEv-expressions) is presented. These are frequent expressions of natural language, such …

This paper provides a logical basis for manipulation with fuzzy IF-THEN rules. Our theory is
wide enough and it encompasses not only finding a conclusion by means of the …

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 …

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 …

The elimination of redundant rules in a given system is considered to be an important step
towards its simplicity, clarity, and comprehensibility. In this paper, we return to the problem of …

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 …

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 …