A Multi-Layer Cloud State Space Model and Its Application

Author

Wu, Ai-yan ; Zhao, Yu-hong ; Ma, Zhong-gui ; Zeng, Guang-Ping ; Tu, Xu-Yan

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

Based on multi-layer state space model, the paper proposes a five-layer energy information hierarchical model, and presents a rank normal cloud conversion model to complete the transforming between energy grade and value. To meet the demands of the research, the rank conversion cloud includes two parts, the single energy rank conversion cloud and the integrated energy rank conversion cloud. Finally, the experiment shows that the model can better solve uncertainty problems of the fuzziness brought by grading and randomness along with investigation, and its practicality is better.

Keywords

fuzzy set theory; information theory; state-space methods; uncertain systems; energy grade; five-layer energy information hierarchical model; fuzziness; integrated energy rank conversion cloud; multilayer cloud state space model; rank normal cloud conversion model; single energy rank conversion cloud; uncertainty problem; Application software; Arithmetic; Artificial intelligence; Automatic testing; Clouds; Electronic mail; Explosions; Graphical user interfaces; Physics; State-space methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5365562

Filename

5365562