Evaluation of an Agricultural Meteorological Disaster Based on Multiple Criterion Decision Making and Evolutionary Algorithm.
Int J Environ Res Public Health
; 15(4)2018 03 28.
Article
em En
| MEDLINE
| ID: mdl-29597243
ABSTRACT
The evaluation of a meteorological disaster can be regarded as a multiple-criteria decision making problem because it involves many indexes. Firstly, a comprehensive indexing system for an agricultural meteorological disaster is proposed, which includes the disaster rate, the inundated rate, and the complete loss rate. Following this, the relative weights of the three criteria are acquired using a novel proposed evolutionary algorithm. The proposed algorithm consists of a differential evolution algorithm and an evolution strategy. Finally, a novel evaluation model, based on the proposed algorithm and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), is presented to estimate the agricultural meteorological disaster of 2008 in China. The geographic information system (GIS) technique is employed to depict the disaster. The experimental results demonstrated that the agricultural meteorological disaster of 2008 was very serious, especially in Hunan and Hubei provinces. Some useful suggestions are provided to relieve agriculture meteorological disasters.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tempo (Meteorologia)
/
Algoritmos
/
Técnicas de Apoio para a Decisão
/
Agricultura
/
Desastres
/
Modelos Teóricos
Tipo de estudo:
Evaluation_studies
/
Prognostic_studies
País/Região como assunto:
Asia
Idioma:
En
Revista:
Int J Environ Res Public Health
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
China