A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic-Reference-Cited by-同舟云学术

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A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

Published:2024-05 Issue: Volume:291 Page:111556
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Peláez-Rodríguez C.^ORCID,Pérez-Aracil J.^ORCID,Marina C.M.^ORCID,Prieto-Godino L.^ORCID,Casanova-Mateo C.,Gutiérrez P.A.^ORCID,Salcedo-Sanz S.

Funder

Ministerio de Ciencia e Innovación

Horizon 2020 Framework Programme

Gobierno de España Ministerio de Ciencia e Innovación

European Commission

Publisher

Elsevier BV

Reference80 articles.

1. The quiet revolution of numerical weather prediction;Bauer;Nature,2015

2. Increasing the value of uncertain weather and river forecasts for emergency managers;Hoss;Bull. Am. Meteorol. Soc.,2016

3. A stitch in time: improving public health early warning systems for extreme weather events;Ebi;Epidemiol. Rev.,2005

4. The benefits and challenges of implementing impact-based severe weather warning systems: Perspectives of weather, flood, and emergency management personnel;Potter;Weather Climate Soc.,2021

5. Unrealized potential: A review of perceptions and use of weather and climate information in agricultural decision making;Mase;Weather Climate Soc.,2014

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1. EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height;Knowledge-Based Systems;2024-09

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