摘要
利用粗糙集理论中属性核与不可分辨关系给出了属性约简算法,对专家知识系统进行化简,获得最小有效规则,建立了一种Petri网模型。该模型可以有效降低网络结构的复杂性。本文的算法利用模糊Petri网络实现模糊推理,并用实例验证了这种智能结合的有效性。
By using attributes core and indiscernibility relation in rough sets,attributes reduction algorithm is given;expert knowledge system is simplified;the minimal set of effective rules is acquired;and a fuzzy Petri net is built.The Petri net can effectively decrease the complexity of the net structure.The algorithm proposed can be used in fuzzy reasoning by using a fuzzy Petri net,and an example illustrates the efficiency of combining rough sets and fuzzy Petri net.
出处
《承德石油高等专科学校学报》
CAS
2011年第2期53-56,共4页
Journal of Chengde Petroleum College
基金
承德市十一五规划课题(基于Matlab的高等数学实验系统的设计与实现):1002006
关键词
粗糙集
属性约简
PETRI网
模糊推理
rough sets
reduction of attribute
fuzzy Petri nets
fuzzy reasoning
