基于粗糙集和模糊聚类的农机化水平评价方法

Study on Evaluation Methods for Agricultural Mechanization Developing Level Based on Rough Set Theory and Fuzzy Aggregation

为科学评价农业机械化发展水平,在建立农业机械化发展水平评价指标体系的基础上,利用模糊聚类方法,在不同置信水平上对由评价对象组成的论域进行分类,同时结合粗糙集理论中的知识熵来确定各指标的权重。该方法从统计数据出发,避免了主观因素对评价结果的影响,使评价结果具有相对客观性。实例表明,评价结果与实际情况基本一致,为评价农业机械化发展水平提供了一种新方法。

Aiming at the shortcomings of current evaluation methods for agricultural mechanization developing level, an evaluation index system consisting of mechanized farming proportion, integrated ensure of farming mechanization and integrated benefit of farming mechanization was set up on the basis of research results on evaluation methods of agricultural mechanization and development situation of farming mechanization in Zhejiang Province. Then, a new method for the weight of every index was put forward based on rough set theory and fuzzy aggregation theory, according to the statistics, the method could rationally allocate weight of every index in terms of every index containing information in index system. An example of application in Zhejiang Province showed that evaluation results was basically in accord with actual situation, and subjective fact influencing on appraising results could be avoided.