本文首先定义了不完备模糊目标信息系统及其非对称相似关系,然后借鉴经典的可辨识矩阵精度约简算法,提出一种新的基于非对称相似关系的可辨识矩阵(α,β)精度约简算法,对不完备模糊目标信息系统进行属性约简。最后给出一个实例,检验算法的可行性。
In this paper,we first propose a concept of an incomplete information system with fuzzy objectives.Then we extend a classical attribute reduction algorithm based on discernible matrix in complete information system to the field of incomplete with fuzzy objectives.A new attribute(α,β)reduction algorithm based on non-symmetric similarity relation and discernible matrix is designed in this paper.And finally,an example has been given to illustrate the feasibility of the new algorithm.