A novel approach to determining change of caloric intake requirement based on fuzzy logic methodology

作者：Nakandala Dilupa^*; Lau H C W

来源：Knowledge-Based Systems, 2012, 36: 51-58.

DOI：10.1016/j.knosys.2012.05.020

• Caloric intake requirement
• Fuzzy logic
• Decision support system
• Health
• Physical activity
• BMI

Obesity is a global epidemic. Decisions related to the consumption of high calorific food are critical because many serious health risks are associated with being overweight and obesity. This article presents a novel approach to determining the caloric intake requirement using fuzzy logic principles. The proposed fuzzy methodology effectively deals with the fuzziness of the data and subjective judgments of the person's level of physical activity, body mass index and age. The method of converting the crisp inputs to fuzzy sets, rule firing and defuzzifying the outputs of the fuzzy inference engine to a linguistic value, is illustrated with an example. The proposed methodology is important in practical terms in responding to dynamic life and work styles and related factors in today's society.

• 出版日期2012-12