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作 者:巩增泰 申诚诚 GONG Zeng-tai;SHEN Cheng-cheng(College of Mathematics and Statistics,Northwest Normal University,Lanzhou 730070,China)
机构地区:[1]西北师范大学数学与统计学院,甘肃兰州730070
出 处:《云南大学学报(自然科学版)》2020年第4期599-608,共10页Journal of Yunnan University(Natural Sciences Edition)
基 金:国家自然科学基金(61763044).
摘 要:散度作为信息之间的一种度量,在分类问题中因表示信息之间的差异程度而得到广泛应用.集值测度和非可加集值测度作为测度的推广,定义和讨论了集值测度和非可加集值测度的f-散度,H-散度和δ-散度,并利用集值的运算和偏序关系,证明了H-散度和δ-散度满足三角不等式性质和对称性,同时给出了集值测度和非可加集值测度Radon-Nikodym导数存在的充分必要条件.最后给出了算例.Divergence as a degree of the difference between two data is widely used in the classification problems.In this paper,f-divergence,H-divergence and δ-divergence of the set-valued measures and non-additive set-valued measures are defined and discussed respectively.It is proved that H-divergence and δ-divergence satisfy the triangle inequality and symmetry by means of the set operations and partial ordering relations.Meanwhile,the necessary and sufficient conditions of Radon-Nikodym derivatives of the set-valued measures and non-additive setvalued measures are investigated respectively.Finally,some examples are given to illustrate the effectiveness of the definitions and results proposed in the article.
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