Fuzzy logic based weight balancing

0Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Human race is affected by a silent but dangerous disease known as obesity. This is the result of the difference between the high calorie intake and low calorie burn. Though most of the people do not realize that they are slowly being engulfed by this disease which can be easily prevented by some simple measures. Along with obesity, underweight is also an issue. To avoid these issues a calorie based diet is the best solution. To recover from this obesity, people need to lose weight and to recover from underweight, people need to gain some weight, both depend on calorie intake and calorie burn. So, to assist with this weight-loss and weight-gain a fuzzy logic based weight loss/gain training program is proposed in this research.

Cite

CITATION STYLE

APA

Farhad, M. S. I., Chowdhury, A. M., Adnan, E., Moni, J. N., Arif, R. R., Sakib, M. A. H., & Rahman, R. M. (2019). Fuzzy logic based weight balancing. In Advances in Intelligent Systems and Computing (Vol. 764, pp. 354–363). Springer Verlag. https://doi.org/10.1007/978-3-319-91189-2_35

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free