Application Comparison of Association Rules and C4.5 Rules in Land Evaluation  

土地评价中关联规则与C4.5规则的应用比较(英文)

作　　者：李亭[1,2] 杨敬锋 陈志民[4] 

机构地区：[1]中山火炬职业技术学院,广东中山528436 [2]广东融讯信息科技有限公司,广东广州510656 [3]广东瑞图万方科技股份有限公司,广东顺德528305 [4]华南农业大学公共基础课实验教学中心,广东广州510642

出　　处：《Agricultural Science & Technology》2010年第4期144-147,共4页农业科学与技术（英文版）

基　　金：Supported by Science and Technology Plan Project of Guangdong Province (2009B010900026,2009CD058,2009CD078,2009CD079,2009CD080);Special Funds for Support Program of Development of Modern Information Service Industry of Guangdong Province(06120840B0370124);Funded Fund Project of South China Agricultural University (2007K017)~~

摘　　要：Association rules and C4.5 rules can overcome the shortage of the traditional land evaluation methods and improve the intelligibility and efficiency of the land evaluation knowledge.In order to compare these two kinds of classification rules in the application,two fuzzy classifiers were established by combining with fuzzy decision algorithm especially based on Second General Soil Survey of Guangdong Province.The results of experiments demonstrated that the fuzzy classifier based on association rules obtain a higher accuracy rate,but with more complex calculation process and more computational overhead;the fuzzy classifier based on C4.5 rules obtain a slightly lower accuracy,but with fast computation and simpler calculation.关联规则和C4.5规则能提高土地评价知识表达的可解释性和土地评价的有效性,克服传统土地评价方法中人为因素多的缺点。为对比关联规则和C4.5规则在应用中的差异,文章基于广东省土地评价数据库,在相同实验条件下进行了关联规则和C4.5规则的挖掘,并结合模糊判决算法分别建立了基于这2种分类规则的模糊分类器进行测试。结果表明,2种算法各有优缺点。其中关联规则具有更好的可支持排序标准、更客观的冗余规则去除算法以及更高的准确率;但其对数据属性要求比较高,挖掘速度也远不如C4.5规则;C4.5规则准确率略低,但其计算成本低、速度快。

关 键 词：Land evaluation Association rules C4.5 Algorithm Fuzzy decision 

分 类 号：F301[经济管理—产业经济] F224