The Evidential Reasoning Approach for Multiple Decision Analysis Using Normal Cloud Model
In this paper, normal cloud model and Evidential Reasoning (E-R) approach is used in Multiple Attribute Decision Analysis (MADA) problems. Different attributes Belief function are represented by cloud model interval. Using cloud model generating algorithm, belief degree interval is obtained without numerical computation. In addition, it is reasonable and it accords with human's mind. Evidential reasoning algorithm is also used to incorporate different attributes interval in different ranks. Maximum and minimum in belief degree interval is computed by software. Then aggregative index number of attribute value is computed. Thing's rank is decided by the index number. In the example, truck's integrated performances are analyzed. Simulation results further illustrate the effectiveness of the design method.