Volume 5 Number 3 (Mar. 2010)
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JSW 2010 Vol.5(3): 288-295 ISSN: 1796-217X
doi: 10.4304/jsw.5.3.288-295

N-D Normal Membership Cloud Model Based on Region Partition

Gou Jin, Zhao Zhi-Qiang, Chen Wei-Bin, Luo Wei
College of Computer Science and Technology, Huaqiao University, Quanzhou, China

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.

Index Terms—N-D Normal Cloud; Cloud Model Based on Region Partition; Membership Cloud; Uncertainty.

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Cite: Gou Jin, Zhao Zhi-Qiang, Chen Wei-Bin, Luo Wei, "N-D Normal Membership Cloud Model Based on Region Partition," Journal of Software vol. 5, no. 3, pp. 288-295, 2010.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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