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• W2912581074 abstract "In this article, an improved system is constructed using interval type-2 fuzzy sets (IT2FS) and a fuzzy logic controller (FLC) with non-singleton inputs. The primary purpose is to better model nutritional input uncertainty which is propagated through the Type-2 FLC. To this end, methods are proposed to (1) model nutrient uncertainty in food items, (2) extend the nutritional information of a food item using an IT2FS representation for each nutrient incorporating the uncertainty in the extension process, (3) accumulate uncertainties for IT2FS inputs using fuzzy arithmetic, and (4) build IT2FS antecedents for FLC rules based on dietary reference intakes (DRIs). These methods are then used to implement a web application for diet journaling that includes a client-side Type-2 non-singleton Interval Type-2 FLC. The produced application is then compared with the previous work and shown to be more suitable. This is the first known work on diet journaling that attempts to model uncertainty for all anticipated measurement error." @default.
• W2912581074 created "2019-02-21" @default.
• W2912581074 creator A5055088775 @default.
• W2912581074 creator A5085700884 @default.
• W2912581074 date "2022-08-15" @default.
• W2912581074 modified "2023-10-14" @default.
• W2912581074 title "Interval Type-2 Fuzzy Application for Diet Journaling" @default.
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• W2912581074 doi "https://doi.org/10.4018/ijfsa.2019040103" @default.
• W2912581074 hasPublicationYear "2022" @default.
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