International Market Selection for Agricultural Product Using Fuzzy Neural Networks

Abstract

International market selection is non-linear, multi-criteria decision-making problems characterized by overwhelm complexity. To solve this problem, we proposed a multigroup classification model based on a hybrid fuzzy neural network (FNN) model. The model is combined by the straightforward fuzzy inference system with the back-propagation neural network. Due to the representative ability of fuzzy inference system and the learning or intelligent ability of neural network, the results of the application of the methodology on real data indicate that the proposed method performed remarkable well in the international market selection.