Sarah Rafiei Rad - MA educated of zabol university
Ahmad Ali Kehkha - Professor of zabol university
Parinaz Jansouz - MA educated of zabol university

In this paper, compromise programming used to solve a multiple-objective model for designing the bestCultivation Pattern. In this model, objectives are simultaneously achieved by minimizing the distance betweencurrent objective values and the ideal ones. The case study is Sistan region in Sistan and Balouchistan Provinceof Iran. There are serious water problems in this region. In used data and information for this study, relates to the years of 2004-2011, when the area was under drought. To satisfy future water demands for farming, compromise programming is applied to aid decision makers, which are local decision-maker (PWSC) and national DM (NWSC), to select the best possible cultivating scenario among others in the region. At first, nine alternativescenarios were chosen. Then, after solving the model, considering to importance of the water and among threegood scenarios (the scenarios number 4, number 5 and number 6), scenario number 6, which is compromisesolution from DMs‟ view, is the best one. This scenario consist all considered criteria in this paper. Therefore, itis recommended for Sistan region with 245000 ha arable land. This cultivating pattern is allocation of165289(ha) to cultivate rapeseed, 68965(ha) to melon and other crops in this group The obtained results revealthat the method is capable of being employed by decision-makers for farm management plan studies.

Decision making; Compromise Programming model; Farm management