Temporal representation and reasoning is one of the main research topics in temporal databases. It still remains difficult in handing indeterminable temporal information in temporaldatabases

while in real life many events happen with indeterminable temporal information. This paper proposes a new model based on probability for representing indeterminable and determinable temporal information to describe events and facts with time indetermi- nacy. This model defines some temporal objects （such as time point and time period）

then defines several relations among temporal objects. Finally

an example is analyzed

using this model to solve the indeterminable temporal reasoning problem.