摘要
σ-度量和弱σ-度量是模糊信息度量的重要概念。熵、距离测度和相似测度是σ-度量和弱σ-度量的特例。在直觉区间值模糊集定义的基础上,给出了σ-熵和弱σ-熵、σ-距离测度和弱σ-距离测度、σ-相似测度和弱σ-相似测度的定义与性质,并讨论了它们之间的关系。
The σ-measures and weak σ-measures are important concepts in fuzzy information measure.Entropy,distance measure and similarity measure are special cases of σ-measures and weak σ-measures.Based on the definition of intuitionistic intervalvalued fuzzy sets,this paper gives the definitions and properties of σ-entropy and weak σ-entropy,σ-distance measure and weak σ-distance measure,σ-similarity measure and weak σ-similarity measure,then discusses basic relations among them.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第9期70-72,103,共4页
Computer Engineering and Applications
关键词
直觉区间值模糊集
σ-度量
弱σ-度量
熵
距离测度
相似测度
intuitionistic interval-valued fuzzy sets
σ-measures
weak σ-measures
entropy
distance measure
similarity measure
