Evaluating agro-meteorological disaster of China based on differential evolution algorithm and VIKOR

Xiaobing Yu (), Yiqun Lu and Mei Cai
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Xiaobing Yu: Institute of Climate Change and Public Policy, Nanjing University of Information Science and Technology
Yiqun Lu: Nanjing University of Information Science and Technology
Mei Cai: Nanjing University of Information Science and Technology

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2018, vol. 94, issue 2, No 9, 687 pages

Abstract: Abstract Agriculture is not only concerned with the daily life of the local residents, but also plays a significant role in the sustainable development of China and even the stability of the world grain market. The evaluation of meteorological disaster involves many indexes; it can be regarded as a multiple criterion decision-making problem. Comprehensive indexes system of agro-meteorological disaster is proposed. The relative weights of the indexes are acquired by differential evolution algorithm. A novel evaluation model based on VIKOR is proposed to estimate the agro-meteorological disaster of China from 2006 to 2010. The experiment results have demonstrated that the situation of agro-meteorological disaster in North and Northwest area of China was severe and the agro-meteorological disaster of 2008 was very serious.

Keywords: Agro-meteorological disaster; Multiple criterion decision making (MCDE); VIKOR; Differential evolution algorithm (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11069-018-3412-y

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