Application of rough sets in GIS generalization

  • Authors:

  • Wenjing Li;Jia Qiu;Zhaocong Wu;Zhiyong Lin;Shaoning Li

  • Affiliations:

  • College of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, China;College of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, China;School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China;School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China;College of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, China

  • Venue:
  • RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
  • Year:
  • 2011

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Abstract

This paper proposes a method to solve the selection problem in GIS generalization by leveraging the rough sets theory for attribute reduction. In specific, by taking into account the special characteristics of the GIS spatial data, our method can be outlined as follows. First, we discretize the continuous-valued attributes through unsupervised discretization method; Second, we classify in a fuzzy manner the spatial objects, whose result will then serve as the decisional attributes; Third, we evaluate the respective importance of these attributes through the attribute reduction method borrowed from the rough sets theory and consequently we conduct a dynamic sorting according to the resulting importance values. Through experimentation results, the effectiveness performance of our proposed method is validated.