The application of fuzzy pattern recognition method in grain emergency early warning classification

In view of the problems that exist in the current grain emergency alert classification in grain emergency plan, an improved fuzzy pattern recognition method based on Fuzzy-AHP to determine weight was adopted. The Fuzzy-AHP was applied in weight calculation of gain emergency early warning standard and in order to avoid error based on one specialist´s judgment, averaged weights were put to use. The paper used curve fitting software, Curve Expert, to build function relation between hierarchic standard and hierarchic factors, which have largely enhanced the science-based and objectivity of the classification of grain emergency early warning. A case study proves the feasibility of the said method.