Approach to Uncertain Reasoning Based on Cloud Model
Bing Li · Journal of Chinese Computer Systems · 2011
Cloud model can establish transformation of uncertainty between the qualitative concept and the quantitative description.The rule generator constructed by cloud model can effectively describe qualitative rules expressing by natural language.On the basis of the single condition single rule generator,the double condition single rule generator algorithm is further proposed,and finally the architecture of cloud reasoning system is given.Based on cloud model,the uncertain reasoning approach is used to design the electrical machine running speed controlling system,and compared with fuzzy reasoning method,which demonstrates the validity and practicability of the cloud method.