Using Cloud Theory to Increase Fuzzy Logic Control System Robustness

Zhaohong WANG

Computer engineering institute Weifang University Weifang, CHINA

Abstract: The traditional fuzzy control based on the membership function is limited for its mathematic model is accurate once it is defined by the mathematical formula, Cloud theory can deal with uncertainty, including cloud model, virtual cloud, cloud operations, cloud transform, uncertainty reasoning, etc. Cloud model can carry out uncertain transition between a linguistic term of a qualitative concept and its numerical representation. It integrates ambiguity and randomness organically to fit the real world objectively, cannot be replaced in some fields of the human society. The new fuzzy control method based on the cloud theory has good robustness.

Keywords: Fuzzy Logic Control; Cloud Theory; Digital Feature of Cloud Model; Membership Function; Robustness