基于粗糙集的旅游突发事件属性约简

通过对大量旅游突发事件的样本数据进行分析和处理,给出了旅游突发事件中决策系统的构建过程,该过程包括属性提取、属性分类(将属性分为条件属性集和决策属性集)和数据清洗.然后在此基础上构建了一个广泛适用的决策表,并应用粗糙集中基于Pawlak属性重要度的属性约简算法对该决策表进行了属性约简.经过属性约简后,在保持决策表的条件属性和决策属性依赖关系不变的前提下,降低了决策表相对于决策属性的条件属性个数,减少了论域的样本数目,从而可以得到一个更有价值的决策表系统.实验结果表明,在约简后的决策表中可更容易地得出简洁实用的决策规则,甚至可以发现一些潜在的决策关系,能在一定程度上提高旅游突发事件关联规则的获取和决策能力.

Tourism emergency attribute reduction based on rough set

Through analyzing and processing a large number of sample data of tourism emergency,this paper describes the construction process of the decision system in tourism emergency,including attribute extraction,attribute classification(It can be divided into condition attribute sets and decision attribute sets),and data cleaning.Then,a widely applicable decision table is built,and the attribute reduction algorithm based on the importance of Pawlak property is employed.On the premise of maintaining constant depend...