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基于粗糙集理论的棉花病害诊断方法
Diagnosis Method of Cotton Disease Based on Rough Set Theory
【摘要】 粗糙集理论作为处理模糊和不确定知识的一种数学工具,能够在保证分类能力不变的前提下对决策系统进行有效地约简并产生相应的决策规则。较之其他数据处理方法,粗糙集理论的优势在于处理数据时无需任何先验信息,这样得到的处理结果更加贴近客观实际。为此,在棉花病害诊断过程中引入了粗糙集理论,通过对棉花病害信息系统的约简实现了棉花病害的快速诊断,显著提高棉花病害知识发现系统的运行效率,为棉花病害的及时诊断提供一种有效的工具。
【Abstract】 As a mathematical tool of dealing with fuzzy and uncertain knowledge,rough set theory can reduce the decision system effectively and produce corresponding decision rules with guarantee of the unchanged classification ability.Compared with other methods of data processing,the advantage of the rough set theory is to handle data without any priori information,so as to get the result more closed to the objective reality.Therefore,with rough set theory in the process of cotton disease diagnosis,the reduction of information system about the cotton disease can achieve rapid diagnosis of cotton disease,improve the operation efficiency of knowledge discovery system to cotton disease and provide an effective tool for timely diagnosis of cotton diseases.
【Key words】 cotton disease; rough set; attribute reduction; fault diagnosis;
- 【文献出处】 农机化研究 ,Journal of Agricultural Mechanization Research , 编辑部邮箱 ,2013年07期
- 【分类号】S435.62;TP18
- 【被引频次】6
- 【下载频次】81