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http://dx.doi.org/10.12673/jkoni.2012.16.6.1109

Design and Implementation of Fuzzy-based Menu Recommendation System  

Kim, Hye-Mi (Division of Information and Communication, Baekseok University)
Rho, Seung-Min (Division of Information and Communication, Baekseok University)
Hong, Jin-Keun (Division of Information and Communication, Baekseok University)
Publication Information
Journal of Advanced Navigation Technology / v.16, no.6, 2012 , pp. 1109-1115 More about this Journal
Abstract
In this paper, we propose a system that recommends the appropriate menu using the fuzzy rules and the case database. The rules are defined by using the user's body information such as height and weight and these information is often vague. Due to its fuzziness, we use the fuzzy logic to represent the information. In our system, it firstly gets the body information for computing the BMI (Body Mass Index) values. Then it combines the muscle mass factor and BMI values to make a fuzzification for calculating the obesity rate. It finally recommends the most relative menu by comparing with the user's obesity rate from each cases in the database. We implement the system on the Android platform and show that our proposed method can achieve reasonable performance through the various experiments,
Keywords
Fuzzy; Menu Recommendation; Case Database;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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