基于熵权的土地整理方案集对分析模型

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

土地整理方案的优选是一个复杂的不确定性问题。为克服基于专家经验或偏好的传统土地整理方案优选方法的缺陷,该文应用集对分析理论和信息熵理论,探讨了可挖掘评价指标固有信息的土地整理方案集对分析综合评价模型,即基于待选土地整理方案与理想方案的集对同一度计算贴近度,结合反映指标内在重要程度的信息熵权,综合评价待选土地整理方案。实例应用及对比结果表明,该模型应用于土地整理方案是可行的,且取得较好效果,提高了土地整理方案优选的可靠性和科学性。

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.