In this paper the concept of soft fuzzy B disconnected space is introduced and studied. In particular, soft fuzzy B disconnectedness via dimension theory is established.

The design process of a superconducting current limiter (SFCL) requires simulation and definition of its electrical, magnetic and thermal properties in form of equivalent circuits and mathematical models. However, any change in SFCL parameters: dimension, resistance, and operating temperature can affect the limiting mode, quench time, and restore time. In this paper, following the simulation of...

This paper presents an application of Fuzzy Logic(FL) and Genetic Algorithm(GA) for improving the approximate match of first-order Inductive Logic Programming(ILP) rules that is based on Backpropagation Neural Networks(BNN). With the help of FL, the evaluation of the truth values of logic programs is more problem-sophisticated, before these values are sent to the BNN for learning or for recogni...

It has been shown that the emotional state of students has an important relationship with learning; for instance, engaged concentration is positively correlated with learning. This paper proposes the Inductive Control (IC) for educational games. Unlike conventional approaches that only modify the game level, the proposed technique also induces emotions in the player for supporting the learning ...

This paper presents a three-stage approach to data mining which puts special emphasis on the visualization and interpretability of the results. In the first stage, the input data is represented by a selforganizing map in order to allow visualization and to reduce the amount of data while removing noise, outliers, and missing values. Then this preprocessed information is used to identify and dis...

In this paper we present a novel approach to datadriven fuzzy modeling which aims to create highly accurate but also easily comprehensible models. This goal is obtained by defining a flexible but expressive language automatically from the data. This language is then used to inductively learn fuzzy regression trees from the data. Finally, we present a detailed comparison study on the performance...

The growing of multimedia data has caused a corresponding growth in the need to analyze and to exploit it. In this paper, we propose to extract knowledge from the whole kind of multimedia data and to bring up a collaborative fuzzy data mining process where each kind of data helps to extract a global knowledge.

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We present some model theoretic results for {L}ukasiewiczpredicate logic by using the methods of continuous model theorydeveloped by Chang and Keisler.We prove compactness theorem with respect to the class of allstructures taking values in the {L}ukasiewicz $texttt{BL}$-algebra.We also prove some appropriate preservation theorems concerning universal and inductive theories.Finally, Skolemizatio...