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.