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International Conference on Rough Sets and Current Trends in Computing

RSCTC 2004: Rough Sets and Current Trends in Computing pp 435–444Cite as

Rough Spatial Interpretation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3066))

Abstract

Rough set is a new approach to uncertainties in spatial analysis. In this paper, we complete three works under the umbrella of rough space. First, a set of simplified rough symbols is extended on the basis of existing rough symbols. It is in terms of rough interpretation and specialized indication. Second, rough spatial entity is proposed to study the real world as it is, without forcing uncertainties to change into a crisp set. Third, rough spatial topological relationships are studied by using rough matrix and their figures. The relationships are divided into three types, crisp entity and crisp entity (CC), rough entity and crisp entity (RC) and rough entity and rough entity (RR). A universal intersected equation is further developed. Finally, rough membership function is further extended with the gray scale in our case study. And the maximum and minimum maps of river thematic classification are generated via the rough membership function and rough relationships.

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References

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  5. Wang, S.L., et al.: Theory and application of Geo-rough space. Geomatics and Information Science of Wuhan University 27(3), 274–282 (2002) (in Chinese)

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Author information

Authors and Affiliations

  1. School of Economics and Management, Tsinghua University, Beijing, 100084, China

    Shuliang Wang & Guoqing Chen

  2. International School of Software, Wuhan University, Wuhan, 430072, China

    Shuliang Wang

  3. School of Remote Sensing Engineering, Wuhan University, Wuhan, 430072, China

    Hanning Yuan & Deren Li

  4. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    Wenzhong Shi

Authors
  1. Shuliang Wang
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  2. Hanning Yuan
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  3. Guoqing Chen
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  4. Deren Li
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  5. Wenzhong Shi
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Editor information

Editors and Affiliations

  1. Shimane University, 89-1 Enya-cho Izumo, 6938501, Shimane, Japan

    Shusaku Tsumoto

  2. Systems Research Institute, Polish Academy of Sciences, 01-447, Warsaw, Poland

    Roman Słowiński

  3. The Linnaeus Centre for Bioinformatics, Uppsala University, Uppsala, Sweden

    Jan Komorowski

  4. Institute of Computer Science, Polish Academy of Sciences, 01–237, Warsaw, Poland

    Jerzy W. Grzymała-Busse

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wang, S., Yuan, H., Chen, G., Li, D., Shi, W. (2004). Rough Spatial Interpretation. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science(), vol 3066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25929-9_52

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  • DOI: https://doi.org/10.1007/978-3-540-25929-9_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22117-3

  • Online ISBN: 978-3-540-25929-9

  • eBook Packages: Springer Book Archive

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