Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18012
Title: Entropy and its state of arts on research of spatial data uncertainty
Other Titles: 熵及其在空间数据不确定性研究中的應用
Authors: Shi, Y
Shi, W 
Jin, F
Keywords: Entropy
Fuzzy entropy
Hybrid entropy
Information entropy
Spatial data
Uncertainty
Issue Date: 2005
Publisher: 中国学术期刊 (光盘版) 电子杂志社
Source: 计算机工程 (Computer engineering), 2005, v. 31, no. 24, p. 36-37, 43 How to cite?
Journal: 计算机工程 (Computer engineering) 
Abstract: 总结了熵的产生、发展、特性及其应用,讨论了熵与不确定性的关系;针对空间数据不确定性问题,总结了基于熵的空间数据不确定性研究成果,提出了应用混合熵作为统一测度来度量空间数据不确定性的设想。
In this paper, the definition of entropy and its characteristics as well as its developments are summed up firstly, and then the relationship of entropy and uncertainty are discussed. Aiming at the problem of spatial data uncertainty, this paper sums up the proposed output of spatial data uncertainty based on entropy, and presents that hybrid entropy can be used as the uniform measure of spatial data uncertainty.
URI: http://hdl.handle.net/10397/18012
ISSN: 1000-3428
Rights: © 2005 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2005 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
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