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

作　　者：郑文钟[1] 何勇[1] 岑益郎[1] 

机构地区：[1]浙江大学生物系统工程与食品科学学院

出　　处：《农业机械学报》2006年第2期58-61,共4页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(项目编号:30270773);浙江省自然科学基金资助项目(项目编号:301270;RC02067)

摘　　要：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.

关 键 词：农业机械化 综合评价 粗糙集 模糊聚类 

分 类 号：S23-01[农业科学—农业机械化工程] F224[农业科学—农业工程]