Design of a Decision Support System for Vegetarian Food Flavoring by Using Deep Learning for the Ageing Society

Abstract

The objective of this research is to design a decision support system (DSS) for vegetarian food flavoring by using deep learning methods, which is a multi-layer perceptron neural network model (MLPNN) for the ageing society. Vegetarian food is consisting mainly of fruits and vegetables can help reduce the risk of chronic diseases [10] such as high blood pressure, osteoarthritis, cataract, high cholesterol, and diabetes, there are top 5 of the elderly chronic diseases [21]. The results show which vegetarian food sets are appropriate for three ageing society groups with chronic diseases. The MLPNN can generate the accuracy of a trained dataset at 94.3% and a tested dataset at 85%. The benefit of this model is that the ageing people can choose the appropriate food menu according to their type of chronic diseases and the restaurant can produce the appropriate food menu for them.