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Use of selected artificial intelligence methods for finding small watersheds most at risk of flash floods
Ježík, Pavel ; Fošumpaur, Pavel (referee) ; Hlavčová,, Kamila (referee) ; Starý, Miloš (advisor)
In our region, heavy rains may occur virtually everywhere. Nowadays there are instruments to predict these events in sufficient advance, but without precise localisation, which is a problem. Present instruments for searching endangered watersheds are focused on operative evaluation of meteorological situation and actual precipitation forecast processing (nowcasting). The thesis brings quite different approach. Potentially endangered areas are detected with evaluation of long-term statistical variables (N-year discharges and rain characteristics) and properties of specific watershed. The whole issue is handled out of situation of actual danger, this attitude is so called off-line solution. The thesis describes a model based on selected artificial intelligence methods. The model forms the core of final map application. The use of model and final application is supposed to be used in area of preventive flood protection, and related investment decision-making. The model focuses on heavy rains and flash floods.
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Use of selected artificial intelligence methods for finding small watersheds most at risk of flash floods
Ježík, Pavel ; Fošumpaur, Pavel (referee) ; Hlavčová,, Kamila (referee) ; Starý, Miloš (advisor)
In our region, heavy rains may occur virtually everywhere. Nowadays there are instruments to predict these events in sufficient advance, but without precise localisation, which is a problem. Present instruments for searching endangered watersheds are focused on operative evaluation of meteorological situation and actual precipitation forecast processing (nowcasting). The thesis brings quite different approach. Potentially endangered areas are detected with evaluation of long-term statistical variables (N-year discharges and rain characteristics) and properties of specific watershed. The whole issue is handled out of situation of actual danger, this attitude is so called off-line solution. The thesis describes a model based on selected artificial intelligence methods. The model forms the core of final map application. The use of model and final application is supposed to be used in area of preventive flood protection, and related investment decision-making. The model focuses on heavy rains and flash floods.
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Možnosti Iterativní proporcionální fitující procedůry
Vejnarová, Jiřina
Iterative Proportional Fitting Procedure (parameterized by a continuous t-norm) for computation of multidimensional possibility distributions from its marginals designed in 2003, is discussed in more details. Special attention is paid to its application to possibilistic marginal problem.
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Proceedings of 6th Workshop on Uncertainty Processing
Vejnarová, Jiřina
The Workshops on Uncertainty Processing have been organized every three years since 1988 and are aimed at fostering creative intellectual activities and exchange of ideas in an informal atmosphere. The Proceedings contain 27 contributions selected by the Programme Committee for presentation at this year's Workshop.
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