Fuzzy Evidential Warning of Grain Security

摘要：

Grain security warning is very important for decision making of government. How to present a reasonable warning is still an open issue. Due to the uncertainty in the grain security warning process, it is reasonable to construct prediction model under the framework of fuzzy sets theory and Dempster Shafer evidence theory. In this paper, a fuzzy evidential grain security warning method is proposed. The warning model can be seen as a multi-attribute decision making (MADM) problem. The data of each attribute are combined through the Demspter rule.

关键词： grain security warnning fuzzy sets theory desmpeter shafer evidence theory madm data fusion

作者: Yong Deng Jianling Xu

作者单位: Key Laboratory of Digital Agricultural Early-warning Technology Ministry of Agriculture of China Bei Grain Economics Institute Nanjing University of Finance and Economics Nanjing, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Advanced Management Science(2010年IEEE高级管理科学国际会 IEEE ICAMS 2010)

会议地点: 成都

会议语种:英文

页码: 703-706

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）