| General Entropy Model of Line Segments Uncertainty in GIS |
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| 作者姓名： | SHI Yufeng SHI Wenzhong School of Architecture Engineering Shandong University of Technology Zhangzhou Road Zibo China Key Laboratoryof Geospace Environment and Geodesy Ministry of Education Wuhan University Luoyu Road Wuhan China. |
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| 作者单位： | SHI Yufeng SHI Wenzhong School of Architecture Engineering，Shandong University of Technology，12 Zhangzhou Road，Zibo 255049，China; Key Laboratoryof Geospace Environment and Geodesy，Ministry of Education，Wuhan University，129 Luoyu Road，Wuhan 430079，China. |
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| 基金项目： | Supported by the Open Research Fund Program of Geomatics and Application Laboratory, Liaoning Technical University (No.2005004). |
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| 摘 要： | Spatial data uncertainty can directly affect the quality of digital products and GIS-based decision making. On the basis of the characteristics of randomicity of positional data and fuzziness of attribute data, taking entropy as a measure, the stochastic entropy model of positional data uncertainty and fuzzy entropy model of attribute data uncertainty are proposed. As both randomic-ity and fuzziness usually simultaneously exist in linear segments, their omnibus effects are also investigated and quantified. A novel uncertainty measure, general entropy, is presented. The general entropy can be used as a uniform measure to quantify the total un-certainty caused by stochastic uncertainty and fuzzy uncertainty in GIS.
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| 收稿时间： | 11 December 2006 |
General Entropy Model of Line Segments Uncertainty in GIS |
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| SHI Yufeng SHI Wenzhong School of Architecture Engineering,Shandong University of Technology, Zhangzhou Road,Zibo ,China, Key Laboratoryof Geospace Environment and Geodesy,Ministry of Education,Wuhan University, Luoyu Road,Wuhan ,China..General Entropy Model of Line Segments Uncertainty in GIS[J].Geo-Spatial Information Science,2007,10(1):61-66. |
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| Authors: | SHI Yufeng SHI Wenzhong School of Architecture Engineering Shandong University of Technology Zhangzhou Road Zibo China Key Laboratoryof Geospace Environment and Geodesy Ministry of Education Wuhan University Luoyu Road Wuhan China |
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| Institution: | (1) School of Architecture Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zibo, 255049, China;(2) Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China |
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| Abstract: | Spatial data uncertainty can directly affect the quality of digital products and GIS-based decision making. On the basis of the characteristics of randomicity of positional data and fuzziness of attribute data, taking entropy as a measure, the stochastic entropy model of positional data uncertainty and fuzzy entropy model of attribute data uncertainty are proposed. As both randomic-ity and fuzziness usually simultaneously exist in linear segments, their omnibus effects are also investigated and quantified. A novel uncertainty measure, general entropy, is presented. The general entropy can be used as a uniform measure to quantify the total un-certainty caused by stochastic uncertainty and fuzzy uncertainty in GIS. |
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| Keywords: | uncertainty line segment general entropy stochastic entropy fuzzy entropy uniform measure |
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