Intelligent Modeling for the food chain using Fuzzy Cognitive Maps

Abstract

The development of a methodological framework for evaluating the quality of a “product” on a food chain is an important issue for managing agriculture applications. This paper addresses this issue from an intelligent point of view. In this research study, the methodology of Fuzzy Cognitive Maps is used. The farm product of milk is used to implement it on the generic approach just described. Simulation studies are performed, and the results are presented in the paper. Discussion of the promising results is discussed, and future research is presented.