Optimizing Human Diet Problem with Fuzzy Price Using Fuzzy Linear Programming Approach

Authors

  • Mustafa Mamat Department of Mathematics, Faculty of Science and Technology, University Malaysia Terengganu (UMT), Malaysia
  • Yeni Rokhayati Department of Mathematics, Faculty of Science and Technology, University Malaysia Terengganu (UMT), Malaysia
  • Noor Maizura Mohamad Noor Department of Computer Science, Faculty of Science and Technology, University Malaysia Terengganu (UMT), Malaysia
  • Ismail Mohd Department of Computer Science, Faculty of Science and Technology, University Malaysia Terengganu (UMT), Malaysia

DOI:

https://doi.org/10.3923/pjn.2011.594.598

Keywords:

Fuzzy linear programming, human diet problem, membership function, price uncertainty, triangular fuzzy number

Abstract

There are two factors that influence diet problem which are rates of diabetes and other diet-related diseases are growing and fluctuation of the food price. This paper discusses human diet problem with fuzzy price. The approach used linear programming with fuzzy objective coefficient using linear membership function. The result showed that the uncertainty of food prices slightly affected the budget of human diet.

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Published

15.05.2011

Issue

Section

Research Article

How to Cite

Mamat, M., Rokhayati, Y., Mohamad Noor, N. M., & Mohd, I. (2011). Optimizing Human Diet Problem with Fuzzy Price Using Fuzzy Linear Programming Approach. Pakistan Journal of Nutrition, 10(6), 594–598. https://doi.org/10.3923/pjn.2011.594.598