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Normal Distribution Data Generating Method Based on Cloud Model

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Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 171-172)

Pages:

385-388

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.171-172.385

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Cite this paper

Online since:

December 2010

Authors:

Zhao Hong Wang

Keywords:

Cloud Model, Normal Distribution, Probability Distribution, Probability Theory

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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