摘要
本文提出了一种新的模糊似然函数,用以表示模糊集合间的相近程度.对其具有的诸多性质作了详细证明,并举例说明其在模式识别中的应用.还对模糊子集度函数及模糊似然函数在不可数集里作了推广.
A new fuzzy likelihood function, which denotes the degree of similarity of two fuzzy sets, is proposed, with detailed proofs of its properties. Its possible applications in fuzzy pattern recognition, fuzzy clustering analysis and image processing etc. are highlighted and an example is given. The fuzzy subsethood function and the fuzzy likelihood function are also generalized in uncountable sets.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1997年第1期9-14,共6页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金(69334012)
关键词
模糊似然函数
模式识别
聚类分析
模糊集
Fuzzy Likelihood Function, Fuzzy Subsethood Function, Fuzzy Pattern Recognition, Fuzzy Clustering Analysis, Fuzzy Set.
