作　　者： ; ; ;

机构地区： 广东海洋大学理学院数学与信息科学系

出　　处： 《咸阳师范学院学报》 2007年第2期35-37,共3页

摘　　要： 自M.Banerjee和S.K.pal提出了模糊粗糙集的基本模型以来,模糊粗糙集一直是粗糙集理论研究的一个重要课题。本文在模糊粗糙集基本模型基础上首先从λ-模糊截集的概念出发,提出了基于λ-模糊截集的上、下近似的概念,给出了依参数粗糙度的新计算方法,从而使模糊粗糙集中依参数粗糙度得到了显著的改进,并通过具体实例证明了该方法的有效性,特别是当处理的数据较多时该方法尤为优越。 It is very important to study fuzzy rough sets in rough sets theory, since the definition of fuzzy rough sets was introduced by M. Banerjee and S.K. pal. In this paper, fuzzy rough sets based on h-fuzzy cut sets were studied continuously, and the definition of upper and lower approximation based on h-fuzzy cut sets were in- troduced. Furthermore, a new method of the roughness measure of a fuzzy set was proposed, and it was shown that the method was valuable by the example finally.

关 键 词： 粗糙模糊集 依参数粗糙度 模糊截集

领　　域： [自动化与计算机技术] [自动化与计算机技术]