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Recommendation Method with Rough Sets in Restaurant Point of Sales System

机译:销售系统中粗糙集推荐方法

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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 point-of-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.
机译:近年来,开发了具有餐厅订单功能的销售点(POS)系统。由于销售系统需要昂贵的设备和系统,因此引入限于大型连锁店等。在本研究中,我们考虑与自动订单功能合作的销售点管理通过使用旨在在餐厅的菜单安全的个人数字设备,追求服务和操作效率的进一步改进,例如食品管理,会计治疗和订购工作。在传统的POS系统中,没有考虑信息推荐技术。我们通过使用粗糙集的优先权,通过应用信息推荐技术,根据用户的偏好实现菜单的建议。因此,认为考虑到食品的新鲜度,过敏,糖尿病的人等,可以使用这种系统在舒适。此外,即使它通过运营效率改进减少人员费用以及小规模商店,也可以进行。

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