Nutri-Educ, a nutrition software application for balancing meals, using fuzzy arithmetic and heuristic search algorithms

Buisson, Jean‐Christophe

doi:10.1016/j.artmed.2007.12.001

Cited by 30 publications

(33 citation statements)

References 9 publications

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“…Sorted results, from those which are less appreciated to those that are highly recommended, have shown that 65 % are acceptable (PV>0.7), but the 35% of combinations should be avoided in the consummation (Table 7). Buisson (2008) has in his study stressed out that use of fuzzy logic in meal planning results with applicable meal offers that are balanced regarding the energy and nutritive contents. Optimisation solutions provide assistance in the selection of foods and meals, and their combination with each other.…”

Section: Results Of the Menu Optimisationmentioning

confidence: 99%

“…In the fuzzy set modelling of nutrients is important to construct the function following the basic properties of a fuzzy set (Dalbelo-Bašić, 2002;Buisson, 2008). Each membership function is defined by its core, height and support ( Figure 1).…”

Section: Fuzzificationmentioning

confidence: 99%

“…Fuzzy approach in nutrition planning is based on the use of the linguistic approach and its application to solve decision problems with linguistic information (Buisson, 2008). Computing with Words (CW) is defined as use of linguistic computational techniques to process linguistic information.…”

Section: Defuzzificationmentioning

confidence: 99%

See 2 more Smart Citations

Application of Fuzzy Logic in Diet Therapy - Advantages of Application

Kljusurić¹,

Rumora²,

Kurtanjek³

2012

Fuzzy Logic - Emerging Technologies and Applications

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Section: Results Of the Menu Optimisationmentioning

confidence: 99%

Section: Fuzzificationmentioning

confidence: 99%

See 1 more Smart Citation

Application of Fuzzy Logic in Diet Therapy - Advantages of Application

Kljusurić¹,

Rumora²,

Kurtanjek³

2012

Fuzzy Logic - Emerging Technologies and Applications

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“…Fuzzyis able to solve the complex nonlinear in order to able to view the nutrition status with member degree. Jean Christophe Buission [4] (2008) did a research called "Nutri-Educ, a nutrition software application forbalancing meals, using fuzzy arithmetic andheuristic search algorithms". This research used a daily input meal breakdown and meal description with output balance assesment and fix or improve the meal.…”

Section: Related Workmentioning

confidence: 99%

Mobile Decision Support System to Determine Toddler's Nutrition Using Fuzzy Sugeno

Suharjito¹,

Jimmy²,

Girsang³

2017

IJECE

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Determination of nutritional status is closely related to the determination of dietary patterns should be given to infants. Nutrition is very important role in mental, physical development, and human productivity. In this study, the system based on android is developed to determine the nutritional status of infants by using Fuzzy Sugeno. Indicator variables are age, height, circle head, and body weight according to the male or female. In this study, the results of measurements of nutritional status of children with Fuzzy Sugenoare tested by comparing the nutritional quality of the data Posyandu toddler by using anthropometric tables. The results of the evaluation measurement accuracy in this application are compared with the results of manual calculation based infant growth charts according to WHO standards. Therefore, these applications can be used to help the community in monitoring the nutritional status of children so that the growth of children is more appropriate in line with expectations.

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“…For example in france 2007, Nutri-Educ is a nutrition software application developed in cooperation with the Diabetology Department of Toulouse's Rangueil University Hospital (Buisson, 2008). It aims at helping any person to balance their meals.…”

Section: Nutritionmentioning

confidence: 99%

Influence of Evolutionary Computing on Nutrition Recommendation: A Survey

AlFayoumi¹,

Hegazy²,

Belal³

2014

Journal of Computer Science

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This study is a survey about how Evolutionary Computing doesn't play its important role in a vital field such as Nutrition. Evolutionary computing is a subset from the artificial intelligence umbrella that involves continuous optimization and combinational optimization which is based on searching methodologies. It has also a lot of algorithms that have played a main role in supporting the decision making and taking processes accurately and effectively. It is concerning many fields in our life such as Industry, Agriculture, Engineering, Transportation, Medicine and Nutrition, etc. One of these algorithms is Genetic Algorithm (GA) which is contributed to a lot of fields. Moreover, Nutrition is a wide field of research because it has several sides, medically, physically and psychologically and so on. But, has Genetic Algorithms been used to contribute to the field of nutrition? This survey illustrates that (GA) is not involved in nutrition computerized models or applications and it suggests building a model to promote a nutrition system using this powerful algorithm and this study presents a suggestion to build a model for nutrition as a future work that uses Genetic Algorithm.

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Nutri-Educ, a nutrition software application for balancing meals, using fuzzy arithmetic and heuristic search algorithms

Cited by 30 publications

References 9 publications

Application of Fuzzy Logic in Diet Therapy - Advantages of Application

Application of Fuzzy Logic in Diet Therapy - Advantages of Application

Mobile Decision Support System to Determine Toddler's Nutrition Using Fuzzy Sugeno

Influence of Evolutionary Computing on Nutrition Recommendation: A Survey

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