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A fuzzy multicriteria decision making model for restaurant menu ranking

机译:餐厅菜单排序的模糊多准则决策模型

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Non Communicable Diseases (NCD), mainly caused by imbalanced diet, such as type 2 diabetes and cardiovascular diseases are increasing. At the same time, Food Away From Home (FAFH) consumption is on the rise. Menu items include categories and sub-categories, and each menu item has five or more critical nutrients to be evaluated such as calorie, cholesterol, saturated fat, sodium, fiber and others. Comparing and choosing healthier menu choices becomes a difficult and time consuming task. Different consumers have varying preferences depending on their health conditions and other preferences. To assist consumers in this task, this paper presents a fuzzy multicriteria decision making model for ranking menu items based on the customer's chosen prioritized criteria. An effective algorithm is developed to rank menu items. An example is presented for demonstrating the applicability of the model in ranking actual menu items listed with necessary nutritional information.
机译:非传染性疾病(NCD)主要由饮食不平衡引起,例如2型糖尿病和心血管疾病正在增加。同时,“外卖食品”(FAFH)的消费也在增加。菜单项包括类别和子类别,并且每个菜单项都具有五种或五种以上要评估的关键营养素,例如卡路里,胆固醇,饱和脂肪,钠,纤维等。比较和选择更健康的菜单选项成为一项困难且耗时的任务。不同的消费者根据他们的健康状况和其他偏好有不同的偏好。为了帮助消费者完成这项任务,本文提出了一种模糊的多准则决策模型,用于基于顾客选择的优先准则对菜单项进行排名。开发了一种有效的算法来对菜单项排序。给出了一个示例,用于说明该模型在对列出有必要营养信息的实际菜单项进行排名时的适用性。

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