Eliciting Knowledge and Transferring It Effectively to a Knowledge-Based System
IEEE Transactions on Knowledge and Data Engineering
A fuzzy logic approach to forecast energy consumption change in a manufacturing system
Expert Systems with Applications: An International Journal
Developing fuzzy classifiers to predict the chance of occurrence of adult psychoses
Knowledge-Based Systems
A fuzzy logic system for home elderly people monitoring (EMUTEM)
FS'09 Proceedings of the 10th WSEAS international conference on Fuzzy systems
Expert Systems with Applications: An International Journal
New trends in recognizing experimental drives: fuzzy logic and formal language theories
IEEE Transactions on Fuzzy Systems
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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.