2014 Volume 65 Issue 12 Pages 661-667
The purpose of this paper was to plan an optimal diet at a minimum cost, subject to constraints of nutrition and consumption based on fuzzy linear programming (FLP). When ordinary (crisp) linear programming (LP) was applied to this subject, the problem arose that cholesterol intake reached its upper limit. This came about because the optimal diet at a minimum cost consisted mainly of starchy foods and low-priced nutritious foods like eggs which contained a great deal of cholesterol.
Therefore the FLP model was implemented in order to solve this problem. The FLP model's constraints of calories and cholesterol and its objectives such as the cost were fuzzified.
As a result of implementing the FLP model, the cost proved to be almost the same as LP, but with fewer calories and a reduction in cholesterol thanks to the optimal diet. It seems that FLP is an effective approach to dietary planning.
