Assessment of Food Security Risk Level Using Type 2 Fuzzy System

In the paper, the assessment of food security using type-2 fuzzy system is presented. For this purpose, the input parameters cereal yield, cereal production, and economic growth are selected and the relationship between these parameters and risk level of food security is determined. The relationship is represented by using IF-Then rules. The values of the parameters in the rule base are described using fuzzy linguistic terms represented by the type-2 fuzzy sets. Based on the fuzzy rules the design of type-2 fuzzy inference system is performed. The system is tested using Turkey cereal data for the period from 1961 to 2012.The designed system is applied for assessing food security risk level and prediction periods of impending pressure on food supply.