Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62600
Title: Hybrid entropy model of spatial data uncertainty in GIS
Other Titles: GIS中空间数据不确定性的混合熵模型研究
Authors: Shi, YF
Shi, WZ 
Jin, FX
Keywords: Uncertainty
Spatial data
Hybrid entropy
Statistic entropy
Fuzzy entropy
Line segment
Issue Date: 2006
Publisher: 武汉大学期刋社
Source: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University), Jan. 2006, v. 31, no. 1, p. 82-85 How to cite?
Journal: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University) 
Abstract: 基于信息理论和模糊集合理论,针对GIS中部分空间数据既具有随机性又具有模糊性的特点,建立了空间数据不确定性的混合熵模型。以GIS中线元不确定性为例,讨论了线元不确定性的统计熵、模糊熵和混合熵估计方法,并针对特例给出了线元不确定性的熵带分布。
Based on the information theory and fuzzy set theory, in the light of the characteristics of randomicity and fuzziness of part spatial data in GIS,this paper proposes a hybrid entropy model of spatial data uncertainty,and hybrid entropy can be used to measure the total uncertainty of spatial data caused by stochastic uncertainty and fuzziness uncertainty.Taking the uncertainty of line segment as an example,this paper discusses the evaluating methods of statistic entropy,fuzziness entropy,and hybrid entropy of line segment uncertainty.And the entropy-band distribution of line segment uncertainty is shown.
URI: http://hdl.handle.net/10397/62600
ISSN: 1000-050X
EISSN: 1671-8860
Rights: © 2006 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。
© 2006 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
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