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Optimized daily diet composition for a nutritionally balanced diet: An application of fuzzy multiple objective linear programming

conference contribution
posted on 21.12.2017, 00:00 by Mary TomMary Tom, Santoso WibowoSantoso Wibowo, Susan WilliamsSusan Williams
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 nutri-tionally 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 automat-ing this task, this interdisciplinary study presents a fuzzy optimi-zation model applying Fuzzy Multi-objective Linear Program-ming (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 pareto optimal solution set of optimized daily diet choic-es. The model is tested using one hundred Menu items, for demonstrating the applicability of the model in composing a nutritionally balanced diet.

History

Start Page

1628

End Page

1634

Number of Pages

7

Start Date

24/07/2016

Finish Date

29/07/2016

eISSN

1098-7584

Location

Vancouver, Canada

Publisher

IEEE

Place of Publication

Piscataway, NJ.

Peer Reviewed

Yes

Open Access

No

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Name of Conference

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), 2016