Application research of rough sets in the multi-elemental cooperative spatial analysis

Wenjing Li; Qiao Wang; Zhiyong Lin

doi:10.1117/12.838284

15 October 2009 Application research of rough sets in the multi-elemental cooperative spatial analysis

Wenjing Li, Qiao Wang, Zhiyong Lin

Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 74923J (2009) https://doi.org/10.1117/12.838284
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China

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.

Citation Download Citation

Wenjing Li, Qiao Wang, and Zhiyong Lin "Application research of rough sets in the multi-elemental cooperative spatial analysis", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74923J (15 October 2009); https://doi.org/10.1117/12.838284

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