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A fuzzy multicriteria decision making model for restaurant menu ranking
conference contributionposted on 2017-12-06, 00:00 authored by Mary TomMary Tom, Santoso WibowoSantoso Wibowo, Srimannarayana GrandhiSrimannarayana Grandhi
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.
Parent TitleProceedings of the 2015 7th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and Robotics, Automation and Mechatronics (RAM), (CIS-RAM 2015), 15-17 July 2015, Angkor Wat, Cambodia.
Number of Pages5
LocationAngkor Wat, Cambodia
Place of PublicationPiscataway, NJ
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External Author AffiliationsCentre for Intelligent Systems (2015- ); School of Engineering and Technology (2013- );