Designing a Multi-objective Decision Making Model to Determine the Optimal Cultivation Pattern in Dasht-e Naz Region in Sari City

In this paper we address a general Goal Programming (GP) model with linear objective, convex constraints and arbitrary component wise no decreasing norm to aggregate deviations with respect to targets. In order to have a better allocation of production resources like water, land, labour force and so on among various farming activities. We used the GP model that can take different objectives of managers based on their importance and priority in agricultural units. In this paper using true information about production resources and existing cultivation pattern in Dasht-e Naz Sari, this site is located in eastern north of Sari in Mazandaran province, Iran. Findings based on analyzing model outcomes, show that changing cultivation pattern based on model suggestion we can increase gross income as much as 336100 per hectare considering the manager's opinion. Also model show that regarding the limited water and land resources in optimal cultivated pattern, making a suggestion to increase the cultivation area of the spring crops, summer crop yield drops and fall crop yield increases, like wheat and canola.