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Examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state's transition functions Assists readers to become familiar with many soft numerical methods to simulate the solution function's behavior