Regard to the importance of choosing the appropriate crop area planning, this article studied ways for choose the best method of planning. Accordingly in this paper we use seven simple linear programming models with the objective functions of maximum profit, minimum cost, maximum Labor, minimum water, minimum calories, minimum fertilizer and maximum ranking, and these models with ranking method were compared with multi objective and Fuzzy multi-objective linear programming. In this model, the limitations of land, labor, capital, water, upper and lower bound of area cultivation has been used. For this purpose, cost-production data in 2010 were used. Ranking result show that Fuzzy multi-objective method with hyperbolic membership function, with these limitations able to meet all targets better than other models. Another important parameter for comparison models is amount of water consumption in different month. Accordingly, maximum calories and Fuzzy multi-objective models use their maximum water in May (Ordibehasht) and other models use their maximum water in June (Khordad) and July (Tir). Due to the warm weather and high evapotranspiration during the months of June and July and also increased the need for household water in these hot months, Fuzzy multi-objective model is better to choice.

JEL Classification: C61, Q15

Keywords:
Fuzzy Multi-Objective Programming, Hyperbolic Membership Function, Ranking, Khorasan Razavi, Crop Area pattern