A Fuzzy Multicriteria Mathematical Programming model for planning agricultural regions
New Medit, vol 8, n. 4, (December 2009), pp. 22-27
Jel classification: C610, Q150
Modern agriculture is characterized by a series of conflicting optimization criteria that hinder the decision-making process in the planning of agricultural production. Such criteria are usually gross margin, the variance of gross margin that stands as a measurement of the total risk, labour, etc. At the same time, the decision-making process in the agricultural production planning is often conducted with data that accidentally occur in nature or that are fuzzy (not deterministic). Such data are the yields of various crops, the prices of products and raw materials, the available quantities of production factors, etc. In this paper, a fuzzy multicriteria mathematical programming model is presented. This model is applied in a region of northern Greece with irrigated agriculture where the optimal production plan is achieved. Then, we compare the results of this model with those of a simple multicriteria mathematical programming model (MCDM model), as well as with those of a simple linear programming model (LP model).
multicriteria models, optimal production plan, irrigated agriculture