Recommendation Method with Rough Sets in Restaurant Point of Sales System

In recent years, a point of sales (POS) systems with a restaurant order function are developed. Since expensive apparatus and system for exclusive use are required for a point of sales system, the introduction is restricted to the large-scale chain store etc. In this research, we consider the pointof-sale management which cooperated with the automatic order function by using a personal digital device aiming at the safety of the menu in a restaurant, pursuit of service, and operational efficiency improvements further, such as foods management, accounting treatment, and ordering work. In the traditional POS system, information recommendation technology was not taken into consideration. We realize recommendation of the menu according to the user’s preference using rough sets, and menu planning based on stock status by applying information recommendation technology. Therefore, it is thought that offer in consideration of freshness of foods, allergy, people with diabetes, etc. can use this system in comfort. Furthermore, it becomes possible even if it is reduction of the personnel expenses by an operational efficiency improvement, and a small-scale store.