Entropy-based of set pair analysis model for optimization of land consolidation plans

Optimization of land consolidation plan is a complex uncertainty problem. To overcome the shortcoming of the conventional methods by means of the experiences or preferences of the experts used to evaluate the land consolidation, a novel comprehensive evaluation model using set pair analysis theory and information entropy theory is described in this paper. A concept of identical degree of set pair was introduced to calculate the approaching degree between the evaluated selection plan and the best optimal scheme. Then combined entropy weights of evaluation indexes, which behaved the influences of internal information of evaluation indexes on the decision-making, the best consolidation scheme would be selected according to the maximum subordination principle. Moreover, the evaluation results and comparison with the method using catastrophe theory from a practical example show that the proposed method used to evaluate the land consolidation plans is feasible and can improve the reliability of decision-making, and the result is fairly good.