Abstract：Fuzzy likelihood function is one of the important tools to describe the degree of similarity between fuzzy sets. Lots of researchers have developed many methods. However, some of them can result against our feeling in some special cases because of the complexity of practical problems. At first, the method proposed by Yan Deqing in 2001 is discussed and its drawbacks are pointed out . A lemma is proved and then a new fuzzy likelihood function is presented. It is just a nearness degree derived from the l\+p distance between fuzzy sets. Compared with related formulations, it is found that they can induce the same fuzzy entropy. Finally, an application example of it in pattern recognition is showed.
收稿日期: 2005-01-25
引用本文:
黄国顺 刘云生. 新的模糊似然函数[J]. , 2005, 44(1): 0-0.
黄国顺 刘云生. A new kind of fuzzy likelihood function. , 2005, 44(1): 0-0.
