Optimized daily diet composition for a nutritionally balanced diet: An application of Fuzzy Multiple Objective Linear Programming

Nutrition related diseases such as Cardiovascular Diseases, type 2 diabetes, and certain types of cancers are widely prevalent, and increasing in both developed and developing countries. This escalates the need to consistently follow a nutritionally balanced diet. Formulation of nutritionally balanc...

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Vydáno v:2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) s. 1628 - 1634
Hlavní autoři: Tom, Mary, Wibovo, Santoso, Williams, Susan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2016
Témata:
Australia
Diabetes
Fats
Fuzzy multi-objective linear programming
Fuzzy optimization
Genetic algorithms
Linear programming
Multi-objective decision making
Nutritionally balanced diet
Optimization
Sugar
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Abstract Nutrition related diseases such as Cardiovascular Diseases, type 2 diabetes, and certain types of cancers are widely prevalent, and increasing in both developed and developing countries. This escalates the need to consistently follow a nutritionally balanced diet. Formulation of nutritionally balanced Meals is a complex task, which requires considerable effort, time, and intellectual capability for evaluation of Menu items and analysis of a range of nutrient values. As a step towards automating this task, this interdisciplinary study presents a fuzzy optimization model applying Fuzzy Multi-objective Linear Programming (FMOLP) to compose a daily diet consisting of nutritionally balanced Meals which limit nutrients such as cholesterol, sugar, saturated fat, and sodium. An effective algorithm is developed to create a pare to optimal solution set of optimized daily diet choices. The model is tested using one hundred Menu items, for demonstrating the applicability of the model in composing a nutritionally balanced diet.
AbstractList Nutrition related diseases such as Cardiovascular Diseases, type 2 diabetes, and certain types of cancers are widely prevalent, and increasing in both developed and developing countries. This escalates the need to consistently follow a nutritionally balanced diet. Formulation of nutritionally balanced Meals is a complex task, which requires considerable effort, time, and intellectual capability for evaluation of Menu items and analysis of a range of nutrient values. As a step towards automating this task, this interdisciplinary study presents a fuzzy optimization model applying Fuzzy Multi-objective Linear Programming (FMOLP) to compose a daily diet consisting of nutritionally balanced Meals which limit nutrients such as cholesterol, sugar, saturated fat, and sodium. An effective algorithm is developed to create a pare to optimal solution set of optimized daily diet choices. The model is tested using one hundred Menu items, for demonstrating the applicability of the model in composing a nutritionally balanced diet.
Author Williams, Susan
Wibovo, Santoso
Tom, Mary
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  givenname: Santoso
  surname: Wibovo
  fullname: Wibovo, Santoso
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  givenname: Susan
  surname: Williams
  fullname: Williams, Susan
  email: s.p.williams@cqu.edu.au
  organization: Sch. of Med. & Appl. Sci., Central Queensland Univ., Rockhampton, QLD, Australia
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Snippet Nutrition related diseases such as Cardiovascular Diseases, type 2 diabetes, and certain types of cancers are widely prevalent, and increasing in both...
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SubjectTerms Australia
Diabetes
Fats
Fuzzy multi-objective linear programming
Fuzzy optimization
Genetic algorithms
Linear programming
Multi-objective decision making
Nutritionally balanced diet
Optimization
Sugar
Title Optimized daily diet composition for a nutritionally balanced diet: An application of Fuzzy Multiple Objective Linear Programming
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