An uncertainty reasoning method based on evidence theory

Uncertainty reasoning plays an important role in the inference with incomplete information. This paper presents a simplified uncertainty reasoning model based on evidence theory. This method deals with uncertain premises. A special probability assignment function is proposed to simplify the computation. A probabilistic function is presented to represents the certainty of the conclusion. We can get the probability assignment function which represents all propositions. An example is given for confirming the process of the inference. This method can deal with “ignorance” and “uncertain” information flexibly. The conclusion may be more general so that experts can present their knowledge easily.