Fuzzy rule-based systems are one of the most important areas of application of fuzzy sets
and fuzzy logic. Constituting an extension of classical rule-based systems, these have been …

Fuzzy rule‐based systems are nowadays one of the most successful applications of fuzzy
sets and fuzzy logic. Most applications use a flat set of fuzzy rules. However, in complex …

Fuzzy systems have found widespread application in several contexts and proved their
suitability in tackling a number of diverse real-world problems. However, the realization of …

In this paper, problems of implementing rule-based expert systems using fuzzy sets are
considered. A fuzzy logic software development shell is used that allows inclusion of both …

This paper elaborates on a development in (applied) fuzzy logic that has taken place in the
last couple of decades, namely, the complementation or even replacement of the traditional …

Fuzzy rule systems have found a wide range of applications in many fields of science and
technology. Traditionally, fuzzy rules are generated from human expert knowledge or human …

Since their inception, the main purpose of expert systems has been emulate human expert
reasoning in problem solving. After the first developments, the researchers realized the …

Within the field of linguistic fuzzy modeling with fuzzy rule-based systems, the automatic
derivation of the knowledge base from numerical data is an important task. In this …

Fuzzy inference systems (FIS) are widely used for process simulation or control. They can be
designed either from expert knowledge or from data. For complex systems, FIS based on …

Fuzzy Rule-Based Systems have been succesfully applied to pattern classification
problems. In this type of classification systems, the classical Fuzzy Reasoning Method (FRM) …