A fuzzy recommendation system for daily water intake

Abstract

Water is one of the most important constituents of the human body. Daily consumption of water is thus necessary to protect human health. Daily water consumption is related to several factors such as age, ambient temperature, and degree of physical activity. These factors are generally difficult to express with exact numerical values. The main objective of this article is to build a daily water intake recommendation system using fuzzy methods. This system will use age, physical activity, and ambient temperature as the input factors and daily water intake values as the output factor. The reasoning mechanism of the fuzzy system can calculate the recommended value of daily water intake. Finally, the system will compare the actual recommended values with our system to determine the usefulness. The experimental results show that this recommendation system is effective in actual application.

Water, sanitation, and hygiene access among people who inject drugs in Tijuana and San Diego in 2020–2021: a cross-sectional study

“…This is suboptimal as the international target is universal basic access [ 6 ]. Likewise, low quantity of water intake per day [ 29 ], feeling thirsty without available drinking water sources, and drinking soda and sweetened beverages instead of water increase PWID risk of metabolic diseases. Drinking water insecurity (i.e., lack of access) and suboptimal water intake can lead to acute or chronic dehydration (i.e., 1–2% loss of body water), impaired cognitive function (e.g., short term attention and memory loss), and urolithiasis and other kidney diseases in the long term [ 31 ].…”

“…Number of glasses of water per day were described as a frequency and were used to estimate the daily water intake in milliliters per kilogram (ml/kg) of participant’s weight. Forty ml/kg were described as the recommended daily water intake [ 29 ]. Open defecation was described as both a binary variable and as a frequency (e.g., times a person openly defecated in the last week).…”

Decision Support Strategies for Household Water Consumption Behaviors Based on Advanced Recommender Systems

“…Dai et al [26] built a recommendation system for daily water consumption through fuzzy methods. The input data of the system are age, physical activity, and ambient temperature and the output data are the values of daily water consumption.…”