Add to ORKGThis paper presents different techniques to visualize high-dimensional fuzzy rule bases in relation to the classified data. The degree of membership to influential rules can be visualized for an entire data set. This enables the observer to detect conflicting or error-prone rules as well as misclassified feature vectors. Results are shown on a benchmark data set and on a weather data set that is used to predict flight durations on a major European airport
Categorization supports decision making, letting an analyst look at data from different perspectives...
Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to generate t...
Uncertainty and vagueness are important concepts when dealing with transition zones between vegetat...
This paper presents an approach to visualize high-dimensional fuzzy classification rules and the cor...
The impact of the weather on the flight duration of aircraft has been analysed in various studies. T...
This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy ...
Fuzzy classification rules are widely considered a well-suited representation of classification know...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
Almost all branches of commerce, industry and research put great efforts in collecting data with the...
Uncertainty and vagueness are important concepts when dealing with transition zones between vegetati...
Abstract — This paper presents an approach for visualizing high-dimensional fuzzy rules arranged in ...
We present an efficient method for extracting fuzzy classification rules from high dimensional data....
This thesis deals with supervised classification of fuzzy data obtained from a random experiment. Th...
This paper presents several pictorial and graphical techniques that may be used for effectively visu...
Many real-world applications have very high dimensionality^and require very complex decision borders...
Categorization supports decision making, letting an analyst look at data from different perspectives...
Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to generate t...
Uncertainty and vagueness are important concepts when dealing with transition zones between vegetat...
This paper presents an approach to visualize high-dimensional fuzzy classification rules and the cor...
The impact of the weather on the flight duration of aircraft has been analysed in various studies. T...
This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy ...
Fuzzy classification rules are widely considered a well-suited representation of classification know...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
Almost all branches of commerce, industry and research put great efforts in collecting data with the...
Uncertainty and vagueness are important concepts when dealing with transition zones between vegetati...
Abstract — This paper presents an approach for visualizing high-dimensional fuzzy rules arranged in ...
We present an efficient method for extracting fuzzy classification rules from high dimensional data....
This thesis deals with supervised classification of fuzzy data obtained from a random experiment. Th...
This paper presents several pictorial and graphical techniques that may be used for effectively visu...
Many real-world applications have very high dimensionality^and require very complex decision borders...
Categorization supports decision making, letting an analyst look at data from different perspectives...
Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to generate t...
Uncertainty and vagueness are important concepts when dealing with transition zones between vegetat...