Previous literature has proved that there exists a unique solution about multifactor uncertain differential equation (MUDE for short) when their coefficients satisfy strict global Lipschitz continuous condition. In this paper, firstly, we consider new existence and uniqueness theorem under the weaker local Lipschitz continuous condition. The next, when the coefficients do not satisfy the Lipschitz condition, we just showcase existence theorem under continuous and linear growth conditions. Once more, we establish the inverse uncertainty distributions (IUDs for short) of supremum, infimum and time integral about the uncertain process Zk, meanwhile, we design some numerical algorithms for solving these IUDs. In the end, some numerical examples are presented to verify the effectiveness of algorithms.