An argumentation model based on evidence theory

Argumentation is a method for resolving differences between agents. Due to the uncertainty and the asymmetry of information, it is necessary to introduce uncertainty processing method into argument evaluation. In this paper, an argumentation model based on DS evidence theory is proposed, in which, an argument is extended to a rule with a premise and a conclusion, premises and conclusions are all called statements; and the uncertainty of a statement is evaluated by mass function of DS evidence theory, the uncertain value of statement is called opinion. Then, the argument evaluation algorithms are proposed to updating all statements´ opinions in Argumentation model. Finally, an example is given to illustrate the validity of the method.