基于Vague集的双向近似推理  

Vague set-based bidirectional approximate reasoning

作　　者：王天江[1] 卢正鼎[1] 李凡[1] 

机构地区：[1]华中科技大学计算机科学与技术学院

出　　处：《华中科技大学学报（自然科学版）》2002年第8期21-23,共3页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家高性能计算基金资助项目 ( 0 0 30 3)

摘　　要：给出了一种新的Vague集间的相似度量方法 ,提出了Vague集间相似方向的概念 ,可以用它来描述两个相似Vague集中哪个所包含的信息更精确 ,并给出了一个判定方法 .在此基础上给出了一种基于Vague集的双向近似推理方法 ,该方法更好地利用了Vague集信息的精确性 ,从而提高了推理的精确性和适用性 。A new similarity measurement between vague sets was proposed. So was the similarity direction of vague sets by which to describe which one is more accurate between vague sets. A method to determine the similarity direction can be improved. A bi-directional approximate reasoning method on vague sets that fully use the their message accuracy was put forward. Thus, the accuracy and applicability of approximate reasoning can be improved by this, which provides a useful tool for approximate reasoning in intelligence system.

关 键 词：VAGUE集 FUZZY集 相似度量 相似方向 双向近似推理 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]