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 humans 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. Things rank is decided by the index number. In the example, trucks integrated performances are analysed. Simulation results further illustrate the effectiveness of the design method.
Keywords: Multiple attribute decision analysis (MADA), Evidential reasoning (E-R) approach, Cloud model, Cloud model belief degree.
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ABOUT THE AUTHOR
Li-Min Zhang
received a Master Degree in Engineering from Hebei University of Science and Technology , Shijiazhuang, China, in 2008. He is now a instructor in Hengshui University, Hengshui, China. His research interests cover the knowledge representation&data mining.
Li-Min Zhang
received a Master Degree in Engineering from Hebei University of Science and Technology , Shijiazhuang, China, in 2008. He is now a instructor in Hengshui University, Hengshui, China. His research interests cover the knowledge representation&data mining.
