N-D Normal Membership Cloud Model Based on Region Partition

Abstract

Uncertainty exists widely in the subjective and objective world. Randomness and fuzziness are the two most important and fundamental forms of them. The cloud model measured by expectation, entropy and hyper-entropy can describe this uncertainty well. A new algorithm of forward and backward cloud based on region partition is proposed. After a comparison was made between these two kinds of algorithms, the conclusion that cloud model based on region partition is better for describing uncertainty than the older one could be drawn.