Many researchers have been interested in approximation properties of fuzzy logic systems (FLS), which like neural networks can be seen as approximation schemes. Almost all of them tackled Mamdani fuzzy model, which was shown to have many interesting features. This paper aims to present alternatives for traditional inference mechanisms and CRI method. The most attractive advantage of these new m...

Many researchers have been interested in approximation properties of fuzzy logic systems (FLS), which like neural networks can be seen as approximation schemes. Almost all of them tackled Mamdani fuzzy model, which was shown to have many interesting features. This paper aims to present alternatives for traditional inference mechanisms and CRI method. The most attractive advantage of these new m...

Rule interpolation methods deal with sparse fuzzy rule bases. The KH interpolation method, which has advantageous computational behaviour, can produce ,,abnormal” output in certain cases. Recently a new method has been proposed to eliminate this property. The goal of this paper is to investigate the mathematical stability of the new α-cut based interpolation approach originated from the KH inte...

Recently, distributed semi-supervised learning (DSSL) algorithms have shown their effectiveness in leveraging unlabeled samples over interconnected networks, where agents cannot share original data with each other and can only communicate non-sensitive information neighbors. However, existing DSSL cope uncertainties may suffer from high computation communication overhead problems. To handle the...

This paper introduces a novel detection method for phishing website attacks while avoiding the issues associated with deficiencies of knowledge-based representation and binary decision. The suggested was performed using Fuzzy Rule Interpolation (FRI). FRI reasoning methods added benefit enhancing robustness fuzzy systems effectively reducing system’s complexity. These benefits help Intrusion De...

The problem of sparse fuzzy rule bases is introduced. Because of the high computational complexity of the original compositional rule of inference (CRI) method, it is strongly suggested that the number of rules in a final fuzzy knowledge base is drastically reduced. Various methods of analogical reasoning available in the literature are reviewed. The mapping style interpretation of fuzzy rules ...

In Image upscaling, a higher resolution image is processed from an available low resolution image. There are numerous scenarios and applications where image upscaling is required and performed. The paper proposes a simple image scaling algorithm and implements it with a fuzzy variant of the supervised ART neural network, ARTMAP. The method has been compared with nearest neighbor interpolation, ...