摘要
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 randomicityand 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.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2006年第1期82-85,共4页
Geomatics and Information Science of Wuhan University
基金
香港特区资助项目(1.34.37.A222)
山东省基础地理信息与数字化技术重点实验室开放研究基金资助项目(SD2003-10)
关键词
不确定性
空间数据
混合熵
统计熵
模糊熵
线元
uncertainty
spatial data
hybrid entropy
statistic entropy
fuzzy entropy
line segment