Abstract:

Probability transformation is one of the most effective decisionmaking methods in the field of uncertainty reasoning. In this research, the existing probability transformation formulas are analyzed, and two kinds of unified probability transformation formulas are then introduced. In order to make up for the deficiencies that the present process of giving the probability transformation formulas is subjective and the probability transformation methods are imprecise, a probability transformation method based on the conflict degree of feedback evidence is thus proposed. Furthermore, the genetic algorithm is used to solve the probability transformation formula of the minimum feedback conflicts. Results of simulation analysis show that the proposed method is more reasonable and effective compared with the existing methods.