The Fuzzy Logic or the Fuzzy Logic Control is an Artificial Intelligence approach/technique, which is especially used for designing and developing intelligent controlling systems. It provides an effective and efficient method to simulate the human thinking and behaviors in order to ensure the related intelligent controlling structure. In this context, this paper introduces the FL-LAB v2: a soft...

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Classically, most programming languages use in a predefined way the notion of “string” as an standard data structure for a comfortable management of arbitrary sequences of characters. However, in this paper we assign a different role to this concept: here we are concerned with fuzzy logic programming, a somehow recent paradigm trying to introduce fuzzy logic into logic programming. In this sett...

In this paper we continue development of formal theory of a special class offuzzy logics, called EQ-logics. Unlike fuzzy logics being extensions of theMTL-logic in which the basic connective is implication, the basic connective inEQ-logics is equivalence. Therefore, a new algebra of truth values calledEQ-algebra was developed. This is a lower semilattice with top element endowed with two binary...

Fuzzy Logic controllers have been successfully applied in a large number of control applications, with the most commonly used controller being the PID controller. Fuzzy logic controllers provide an alternative to PID controllers, as they are a good tool for the control of systems that are difficult to model. The control action in fuzzy logic controllers can be expressed with simple “if-then” ru...

Closure operators (and closure systems) play a significant role in both pure and applied mathematics. In the framework of fuzzy set theory, several particular examples of closure operators and systems have been considered (e.g. so-called fuzzy subalgebras, fuzzy congruences, fuzzy topology etc.). Recently, fuzzy closure operators and fuzzy closure systems themselves (i.e. operators which map fu...

In this paper it is described the use of Fuzzy Deformable Prototypes for representing clusters of documents. We use fuzzy logic technologies and a KDD based process for automatic classification of large repositories of documents in a fuzzy and hierarchical organization. The aim is to make an optimum exploitation of the concepts contained in the documents using an updateable and understandable s...

This paper presents a novel adaptive neuro-fuzzy based speed controller for vector controlled induction motor drive. The proposed neuro-fuzzy controller incorporates fuzzy logic algorithm with a five-layer artificial neural network (ANN) structure. The conventional PI controller is replaced by Adaptive Neuro-Fuzzy Inference System (ANFIS), which tunes the fuzzy inference system with hybrid lear...

The main asset of this paper is among the uses of fuzzy logic in the engineering sector and especially in the renewable energies as a large alternate of fossil energies, in this paper a PSO-based optimization is used to find the optimal scaling parameters, of a fuzzy logic-based MPPT controller, that maximize the efficiency of a photovoltaic pumping system. The tuning of input and output parame...