摘要
为了弥补区间值模糊集和三参数模糊集在模糊信息表达方面的不足,在Flou集的基础上,提出了一种新的L模糊集———Flou值模糊集,并用投票模型对其作出解释。定义了8种Flou值模糊集的截集,并讨论了它们的性质。然后,基于Flou值模糊集的截集建立了分解定理,揭示了Flou值模糊集和Flou集之间的联系。本工作为处理模糊信息提供了一种新的工具,并为Flou值模糊集的研究和应用奠定了初步的理论基础。
This paper introduced a new kind of L-fuzzy set which is called Flotrvalued fuzzy set to consider the deficiency of interval-valued fuzzy set and three-parameters interval-valued fuzzy set in expressing fuzzy information. The authors put forward eight kinds of cut set on the Flou-valued fuzzy sets. Based on them, the decomposition theorems were ob- tained and its effectiveness was vertified by a practical account case,
出处
《计算机科学》
CSCD
北大核心
2013年第8期233-238,共6页
Computer Science
基金
教育部高校博士学科点专项科研基金(博导类)(20102121110002)资助
