Development of a Decision Support Framework for Health Beverage Flavouring for the Ageing Society Using Artificial Neural Network

Abstract

The objective of this research is to select health beverage flavour appropriate for the ageing people with the aid of a decision support framework by using the artificial neural network. The decision support framework's role is to gather information between consumers and manufacturers. The framework has the capability to compile the collected data and form the suitable model for selecting beverage flavouring of the products. In order to identify the preference of consumer, the artificial neural network has been applied to classify the beverage preference, i.e. taste, colour and odour of health beverages as well as the consumer groups. The questionnaire is used to gather the preference for taste, colour and odour from consumer groups which are separated into four groups such as the gender (male or female), age (60-65 years or over 65 years) health condition (healthy or unhealthy) and symptoms. The results of this research can benefit to consumers and manufacturers. The consumers can know the most preferred health beverage. In addition, the manufacturers can produce products that can match the consumer's preference.

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