This paper presents an approach to visualize high-dimensional fuzzy classification rules and the corresponding classified data set in the plane. This enables the observer to check visually to which degree a feature vector is classified by a certain rule. Also misclassified feature vectors can be well spotted and conflicting or error-prone rules can be identified
Many fuzzy rule induction algorithms have been proposed during the past decade or so. Most of these ...
This paper presents a visualization tool, VisHD, that can visualize the spatial distribution of vect...
[[abstract]]This paper presents a visualization tool, VisHD, that can visualize the spatial distribu...
This paper presents different techniques to visualize high-dimensional fuzzy rule bases in relation ...
We present an efficient method for extracting fuzzy classification rules from high dimensional data....
This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy ...
Abstract — This paper presents an approach for visualizing high-dimensional fuzzy rules arranged in ...
The impact of the weather on the flight duration of aircraft has been analysed in various studies. T...
Many high-level vision systems use rule-based approaches to solving problems such as autonomous navi...
In this paper we describe a neuro-fuzzy model to extract interpretable classification rules from exa...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
Pioneering the traditional fuzzy rule-based (FRB) systems, deep rule-based (DRB) classifiers are abl...
Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to generate t...
In this chapter, a new type of deep rule-based (DRB) classifier with a multi-layer architecture is p...
Many real-world applications have very high dimensionality^and require very complex decision borders...
Many fuzzy rule induction algorithms have been proposed during the past decade or so. Most of these ...
This paper presents a visualization tool, VisHD, that can visualize the spatial distribution of vect...
[[abstract]]This paper presents a visualization tool, VisHD, that can visualize the spatial distribu...
This paper presents different techniques to visualize high-dimensional fuzzy rule bases in relation ...
We present an efficient method for extracting fuzzy classification rules from high dimensional data....
This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy ...
Abstract — This paper presents an approach for visualizing high-dimensional fuzzy rules arranged in ...
The impact of the weather on the flight duration of aircraft has been analysed in various studies. T...
Many high-level vision systems use rule-based approaches to solving problems such as autonomous navi...
In this paper we describe a neuro-fuzzy model to extract interpretable classification rules from exa...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
Pioneering the traditional fuzzy rule-based (FRB) systems, deep rule-based (DRB) classifiers are abl...
Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to generate t...
In this chapter, a new type of deep rule-based (DRB) classifier with a multi-layer architecture is p...
Many real-world applications have very high dimensionality^and require very complex decision borders...
Many fuzzy rule induction algorithms have been proposed during the past decade or so. Most of these ...
This paper presents a visualization tool, VisHD, that can visualize the spatial distribution of vect...
[[abstract]]This paper presents a visualization tool, VisHD, that can visualize the spatial distribu...