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 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.

[1]  Youbo Lv.  Multi-objective Nutritional Diet Optimization Based on Quantum Genetic Algorithm , 2009, 2009 Fifth International Conference on Natural Computation.

[2]  Zhen Liu,et al.  Nutritional Diet Decision Using Multi-objective Difference Evolutionary Algorithm , 2009, 2009 International Conference on Computational Intelligence and Natural Computing.

[3]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[4]  Cengiz Kahraman,et al.  Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments , 2008 .

[5]  J. Kljusurić,et al.  Computer-generated vegan menus: The importance of food composition database choice , 2015 .

[6]  Mary Tom,et al.  Requirement Analysis of Ubiquitous Intelligence System for Personal Diet Formulation and Maintenance , 2011, 2011 International Conference on Process Automation, Control and Computing.

[7]  Waiel F. Abd El-Wahed,et al.  Intelligent Fuzzy Multi-Criteria Decision Making: Review and Analysis , 2008 .

[8]  B.K. Seljak,et al.  Dietary Menu Planning Using an Evolutionary Method , 2006, 2006 International Conference on Intelligent Engineering Systems.

[9]  Yanping Sun,et al.  An Improved Multi-objective evolutionary Algorithm for hypertension nutritional diet Problems , 2009, 2009 IEEE International Symposium on IT in Medicine & Education.

[10]  Mary Tom,et al.  Computational intelligence using Fuzzy Multicriteria Decision Making for DIligenS: Dietary Intelligence System , 2012, 2012 IEEE International Conference on Fuzzy Systems.

[11]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[12]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[13]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[14]  Yanping Sun,et al.  Applications of MOGA in nutritional diet for diabetic patients , 2009, 2009 IEEE International Symposium on IT in Medicine & Education.

[15]  Jonathan Lawry,et al.  IEEE International Conference on Fuzzy Systems , 2017 .

[16]  Mary Tom,et al.  A fuzzy multicriteria decision making model for restaurant menu ranking , 2015, 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM).

[17]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[18]  Wolfgang Hauke.  Fuzzy Multiple Attribute Decision Making (Fuzzy-MADM) , 1998 .

[19]  Rita Almeida Ribeiro.  Fuzzy multiple attribute decision making: A review and new preference elicitation techniques , 1996, Fuzzy Sets Syst..

[20]  Sandra Capra,et al.  Nutrient reference values for Australia and New Zealand: Including recommended dietary intakes , 2006 .

[21]  S. Wierzchon.  Linear programming with fuzzy sets: A general approach , 1987 .

[22]  Peilin Shi,et al.  Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment , 2015, The Lancet. Global health.

[23]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[24]  Cengiz Kahraman,et al.  Fuzzy Multiple Objective Linear Programming , 2008 .

[25]  P. Tin,et al.  Linear Programming Approach to Diet Problem for Black Tiger Shrimp in Shrimp Aquaculture , 2005, 6th Asia-Pacific Symposium on Information and Telecommunication Technologies.