A comparison model for uncertain information in expert system

Expert system has been widely used since it was created as early as 1970s. One of the challenges that expert systems faced is to deal with uncertain information. Even though there are many uncertainty management approaches which can deal with problems of different types, the term uncertain information is not clearly defined. This paper reviews some of the uncertainty management in order to highlight, compare and clarify the differences of these approaches in terms of the application area and target area of problem solving. With this, we propose a comparison model which can serve as a guide in selecting a suitable uncertainty management with the consideration of three uncertain information categories: event, evidence and variable. These three categories are different in terms of their area of problem solving.