The aim of this study was to apply fuzzy goal programming with a tolerance approach in determining of optimal cropping patterns for Neyshabour district farmers. For this purpose, six fuzzy goals: minimization of water consumption, fertilizer use, machinery services, maximization of gross margin, labor employment and crop production compared in framework of six weighting scenarios. The results showed that, the first of three fuzzy goals are fully satisfied in most of scenarios and there is no need to assign tolerance to them. The comparison of current cropping pattern with the model indicated that to achieving the goals, it is necessary to increase cultivated area of corn and potato, and decrease wheat and barley. In addition, Euclidean distance function indicated that third and sixth scenarios have the same cropping patterns and the least distance to ideal point and are closer to satisfy the goals. Finally, according to findings some proposals were presented.
Ziaee, S., & Sabouhi, M. (2009). Optimization of Cropping Pattern by Fuzzy Goal Programming with a Tolerance Approach: A Case Study of Neyshabour City. Agricultural Economics, 3(1), 217-229.
MLA
Saman Ziaee; Mahmoud Sabouhi. "Optimization of Cropping Pattern by Fuzzy Goal Programming with a Tolerance Approach: A Case Study of Neyshabour City". Agricultural Economics, 3, 1, 2009, 217-229.
HARVARD
Ziaee, S., Sabouhi, M. (2009). 'Optimization of Cropping Pattern by Fuzzy Goal Programming with a Tolerance Approach: A Case Study of Neyshabour City', Agricultural Economics, 3(1), pp. 217-229.
VANCOUVER
Ziaee, S., Sabouhi, M. Optimization of Cropping Pattern by Fuzzy Goal Programming with a Tolerance Approach: A Case Study of Neyshabour City. Agricultural Economics, 2009; 3(1): 217-229.
)