A mathematical model for representing farmer decision processes
Kasi Bharath Vegesana, Frederic D. McKenzie · 2014
This paper presents a mathematical modeling technique that allows for formulating a farmer decision problem. We use fuzzy logic and binary integer programming respectively to represent the factors and decision utilities in the problem. We will briefly look at the data requirements for this model. The techniques used in determining the fuzzy rule base will be discussed. We will show the application of artificial neural networks for determining the rule base in our model. A mathematical representation of the system will be created, which can act as an approximation for any problem formulation. Finally, we will use all these techniques on a sample problem, which uses simulated data.