A Fuzzy Linear Programming in Optimizing Meat Production

摘要

Linear programming is one of the possible methods in optimizing objective function bounded by constraints with coefficients are real numbers. However, fuzzy linear programming with single objective function and multi-objective function could be better served in vague and uncertainty phenomena where fuzzy numbers are its coefficients. Fuzzy linear programmings with single objective function and multi-objective function have been applied in various real life applications. This paper proposes optimal solutions and profits of red meat production problem using fuzzy linear programming with single objective function. Data from Veterinary Department of Malaysia were sought in identifying beef and mutton production and its production constraints. The original method of fuzzy numbers linear programming and multi-objective linear programming were modified specifically to solve a single objective function in maximizing red meat profit. The profits ranged from RM 38,806.25 million to RM 57,922.00 million were obtained. The profits obtained were depending on the flexibility of aspiration values. The trends of interval-valued of optimal solution were moved in tandem with aspiration values. The profit of red meat production was successfully obtained with the variability of fuzzy memberships in fuzzy linear programming.