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针对已有的不完备信息系统粗糙集扩充模型没有考虑属性的权重的缺点,提出基于加权阈值容差关系的粗糙集扩充模型.该模型根据给出的不完备信息系统信息量计算权重,不需引入系统外知识,权重确定比较客观;同时引入阈值来调整加权阈值容差类判定的严格程度,兼顾了人的主观要求,并能预先排除因自身不满足阈值条件而不可能与任何其他对象划为同一加权阈值容差类的对象,但不影响类的完整性.实例对比分析表明,与其他模型相比,基于加权阈值容差关系的粗糙集扩充模型符合不完备信息系统应用客观实际,具有更强的适应能力.
In order to overcome the shortcomings that the existing rough set extension model of incomplete information system does not consider the weight of attribute, this paper proposes an extended model of rough set based on weighted threshold tolerance relation, which calculates the weights according to given information amount of incomplete information system. Introducing the knowledge outside the system and determining the weight relatively objectively; at the same time, introducing the threshold to adjust the strictness of weighted threshold tolerance class, taking into account the subjective requirements of human beings, and precluding the possibility of meeting the threshold of any other object Which is the same weighted thresholding tolerance class object, but does not affect the integrity of the class.Comparison of examples shows that, compared with other models, based on the weighted threshold tolerance relationship between the rough set expansion model in line with the practical application of incomplete information systems, with More adaptable.