Publications

“It could be worse, it could be raining”: Reliable automatic meteorological forecasting for holiday planning  (2019)

Authors:
Cristani, M.; Domenichini, F.; Tomazzoli, C.; Zorzi, Margherita
Title:
“It could be worse, it could be raining”: Reliable automatic meteorological forecasting for holiday planning
Year:
2019
Type of item:
Contributo in atti di convegno
Tipologia ANVUR:
Contributo in Atti di convegno
Language:
Inglese
Format:
Elettronico
Name of journal:
LECTURE NOTES IN COMPUTER SCIENCE
ISSN of journal:
0302-9743
N° Volume:
11606
Congresso:
32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019
Place:
Graz, Austria
Period:
July 9-11, 2019
:
Springer Verlag Germany
Publisher:
Springer Verlag Germany
ISBN:
978-303022998-6
Page numbers:
3-11
Keyword:
Automated Reasoning, Hybrid Reasoning, Defeasible Logic, Labelled Deduction System, SpinDLE
Short description of contents:
Weather forecasting is a logical process that consists in evaluating the predictions provided by a set of stochastic models, compare these and take a conclusion about the weather in a given area and a given interval of time. Meteorological forecasting provides reliable predictions about the weather within a given interval of time. The automation of the forecasting process would be helpful in a number of contexts. For instance, when forecasting about underpopulated or small geographic areas is out of the human forecasters’ tasks but is central, e.g., for tourism. In this paper, we start to deal with these challenging tasks by developing a defeasible reasoner for meteorological forecasting, which we evaluate against a real-world example with applications to tourism and holiday planning.
Web page:
https://link.springer.com/chapter/10.1007/978-3-030-22999-3_1
Product ID:
107540
Handle IRIS:
11562/992862
Last Modified:
March 13, 2024
Bibliographic citation:
Cristani, M.; Domenichini, F.; Tomazzoli, C.; Zorzi, Margherita, “It could be worse, it could be raining”: Reliable automatic meteorological forecasting for holiday planning in «LECTURE NOTES IN COMPUTER SCIENCE» vol. 11606 Springer Verlag Germany  in Proceedings of 32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2019)Springer Verlag GermanyProceedings of "32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019" , Graz, Austria , July 9-11, 2019 , 2019pp. 3-11

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