Evaluation of an Agricultural Meteorological Disaster Based on Multiple Criterion Decision Making and Evolutionary Algorithm

Xiaobing Yu; Xianrui Yu; Yiqun Lu

doi:10.3390/ijerph15040612

Evaluation of an Agricultural Meteorological Disaster Based on Multiple Criterion Decision Making and Evolutionary Algorithm

Int J Environ Res Public Health. 2018 Mar 28;15(4):612. doi: 10.3390/ijerph15040612.

Authors

Xiaobing Yu^{1

2}, Xianrui Yu³, Yiqun Lu⁴

Affiliations

¹ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China. yuxiaobing@nuist.edu.cn.
² School of Management and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China. yuxiaobing@nuist.edu.cn.
³ School of Management and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China. 20171213556@nuist.edu.cn.
⁴ School of Management and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China. luyiqun@nuist.edu.cn.

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.

Keywords: Analytical Hierarchy Process (AHP); TOPSIS; differential evolution; disaster evaluation; evaluation model.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Agriculture*
Algorithms*
China
Decision Support Techniques*
Disasters*
Geographic Information Systems
Models, Theoretical*
Weather*