本文提出了以信任度、可能性测度、权重有隶属函数概念作为模糊相似性匹配的基础来检索图像的方法。
In this paper, we put forward the concept of belief measure, possible measure, membership function and weight as the base of fuzzy similarity match, with these functions we can retrieve images.
此外，考虑到节点推荐信任度受多个因素的影响，我们引入了正态分布概率密度函数来对节点推荐信任度的分布作进一步分析。
Besides, considering the fact that peer's recommended trust is affected by many factors, we introduce normal probability density function to analyze the stability of the peer's trustworthiness.
此外，考虑到节点推荐信任度受多个因素的影响，我们引入了正态分布概率密度函数来对节点推荐信任度的分布作进一步分析。
Besides, considering the fact that peer's recommended trust is affected by many factors, we introduce normal probability density function to analyze the stability of the peer's trustworthiness.
应用推荐