关键词: 可能网络, 贝叶斯网络, 不确定性信息, 不准确性信息, 集值

Abstract: Bayesian network is the connection of probability theory and graphical model and is widely used to solve the uncertainty problem.But it has deficiencies in dealing with the imprecise information.Possibilistic network is the combination of probability theory and possibilistic theory with graphical model which can remedy defect of Bayesian network.In this paper the concept of possibilistic networks is introduced.Then it is compared with Bayesian network and a method of the possibilistic network structure learning based on the dependency analysis is given.

Key words: possibilistic network, Bayesian network, uncertain information, imprecise information, set-valued