Nutritional Needs Recommendation Based on Fuzzy Logic

被引：5
|
作者：
Priyono, Restu Arif [1 ]
Surendro, Kridanto [1 ]
机构：
[1] STEI ITB, Bandung 40132, Indonesia
来源：
4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATICS (ICEEI 2013) | 2013年 / 11卷
关键词：
fuzzy logic; fuzzy inference model; calories assessment; food calories; Takagi Sugeno Kang; Tsukamoto;
D O I：
10.1016/j.protcy.2013.12.320
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
People have daily optimal energy needs, and most people careless about food's calories suitability for their health, because usually people do not calculate food's calories they want to eat. Fuzzy logic has the ability to model this problem, in the way helping people to calculate suitability between food calories and user's profile. The inference models that are used in this work are TSK to assess daily calories need, and Tsukamoto to assess calorie which is contained in food which has inconsistency in calorie information. The conclusion is that calorie need problem can be modelled using fuzzy inference model and satisfied calorie value range. (C) 2013 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：1244 / 1251
页数：8
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