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- W2894476179 abstract "The paper proposes a fuzzy logic based food recommendation with the concepts of BMI (Body Mass Index), age, recommended nutrients and income. In Bangladesh, most of the people are suffering from malnutrition as they have no clear idea about food nutrition and the case is worse in the rural area due to low income of people are living there. We have developed a fuzzy model that recommends addition or reduction of food items in daily food habit that meets nutritional needs and budget limits of rural people in the context of Bangladesh. Since people have variations in their food intake, we have focused mostly in their nutritional imbalances to find the appropriate food groups that can be suggested. Local food items have been checked and divided into low and high cost categories. By fuzzifying different parameters, a recommended food list is presented that will consider both the income and preference level of rural people." @default.
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- W2894476179 date "2018-06-01" @default.
- W2894476179 modified "2023-10-18" @default.
- W2894476179 title "Income Based Food List Recommendation for Rural People Using Fuzzy Logic" @default.
- W2894476179 cites W2033102014 @default.
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- W2894476179 doi "https://doi.org/10.1109/icis.2018.8466403" @default.
- W2894476179 hasPublicationYear "2018" @default.
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