Normal Distribution Data Generating Method Based on Cloud Model
The similar normal distribution is used wildly in the natural science and social science, fuzzy membership degree function which is accurately established seriously reduces the forecast accuracy of such data. Cloud model compare randomness and fuzziness organically, it reveal the relevance between randomness and fuzziness with digital expectations, entropy and hyper entropy, forecast algorithm based on normal cloud model relaxed the requirements of a normal distribution prerequisite and replaced the accurate membership degree function with the membership degree distribution expectation function, it is more easier and simpler than the joint distribution, Comparative experiment showed it is more general, can complete the data forecast accurately and directly.
Zhihua Xu, Gang Shen and Sally Lin
Z. H. Wang "Normal Distribution Data Generating Method Based on Cloud Model", Advanced Materials Research, Vols. 171-172, pp. 385-388, 2011