The impact of the weather on the flight duration of aircraft has been analysed in various studies. The complex aspects of the weather, which are accordingly reflected in the weather data, demand sophisticated techniques to visualize the analytical results. In this paper we present an approach to visualize fuzzy rules describing high-dimensional data. By means of this method, the rules, as well as the classified data, can be presented on an arbitrary low-dimensional space. We will demonstrate the efficiency of this technique on some benchmark examples and on real weather data set that is used to predict aircraft flight duration on a European hub airport
Aviation is heavily affected by thunderstorms. Approaching storm cells with accompanying effects suc...
International audienceDuring a ski touring outing, practitioners evolve in an uncertain environment ...
We present the application of interactive three-dimensional (3-D) visualization of ensemble weather ...
This paper presents different techniques to visualize high-dimensional fuzzy rule bases in relation ...
Almost all branches of commerce, industry and research put great efforts in collecting data with the...
Air traffic at airports is affected by various factors. The capacity of an airport and the demand a...
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 analyzed in various studies. T...
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively...
The predicted growth in air transportation and the ambitious goal of the European Commission to have...
The predicted growth in air transportation and the ambitious goal of the European Commission to have...
Data mining is a process used for the discovery of data correlation; the technique includes successf...
WIND-3 is an application for aviation weather forecasting that uses the analog method to produce det...
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively...
It is crucial to evaluate the information obtained from the sensors in a fast and accurate manner in...
Aviation is heavily affected by thunderstorms. Approaching storm cells with accompanying effects suc...
International audienceDuring a ski touring outing, practitioners evolve in an uncertain environment ...
We present the application of interactive three-dimensional (3-D) visualization of ensemble weather ...
This paper presents different techniques to visualize high-dimensional fuzzy rule bases in relation ...
Almost all branches of commerce, industry and research put great efforts in collecting data with the...
Air traffic at airports is affected by various factors. The capacity of an airport and the demand a...
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 analyzed in various studies. T...
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively...
The predicted growth in air transportation and the ambitious goal of the European Commission to have...
The predicted growth in air transportation and the ambitious goal of the European Commission to have...
Data mining is a process used for the discovery of data correlation; the technique includes successf...
WIND-3 is an application for aviation weather forecasting that uses the analog method to produce det...
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively...
It is crucial to evaluate the information obtained from the sensors in a fast and accurate manner in...
Aviation is heavily affected by thunderstorms. Approaching storm cells with accompanying effects suc...
International audienceDuring a ski touring outing, practitioners evolve in an uncertain environment ...
We present the application of interactive three-dimensional (3-D) visualization of ensemble weather ...