Cloud decision analysis method
Hailin Li · Kongzhi yu juece · 2009
The analysis method based on the artificial intelligence with uncertainty is introduced.The ways of the cloud transformation and the climbed-up conception are used to represent the cloud models of different attributes factors and distributes the cloud weight for each factor.Then the best evaluation cloud models for each factor are found by using the relative cloud theory.At the same time,the cloud weight participates in computing with the synthesis evaluation.Finally,the distributing of cloud drops expresses the result of evaluation.The experiment results show that it is easier to understand the meaning of the result and has wider universality,higher veracity than the fuzzy decision analysis.