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Proceedings Paper

Application research of rough sets in the multi-elemental cooperative spatial analysis
Author(s): Wenjing Li; Qiao Wang; Zhiyong Lin
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Paper Abstract

Multi-elemental cooperative analysis can not only brings a large number of relevant information but fuzz up key elements, so valid data excavating tools are needed to find element information which influences entities the most. Based on the sample of bus site setting in a city, this paper employs Rough Sets method to analyze multi-elemental cooperation which influence bus site grade and calculate importance of each element. Thus, multi-elemental cooperative analysis can be realized. Compared with conventional multi-parameter analysis, this method based on data self-adapting is intelligent, high-efficiency and have no use for manual intervention.

Paper Details

Date Published: 15 October 2009
PDF: 10 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74923J (15 October 2009); doi: 10.1117/12.838284
Show Author Affiliations
Wenjing Li, Wuhan Univ. of Science and Technology (China)
Qiao Wang, Wuhan Univ. (China)
Zhiyong Lin, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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