The application of spatial analysis based on rough set theory and hierarchical analysis

Abstract

As the development of the theory and technology of geographical information, Geographical Information System (GIS) has been widely applied in variety of industries. It usually refers to the analytical problem of multi-factor in GIS thematic application. In this field, the determination of factors' weight is a common and important problem. It actually deals the data when processing the spatial analysis applying GIS, for example, according to the importance of some factor, assign some value to it then process spatial overlay operation using the values and finally conclude some evaluation or result. In reality, there are many factors that affect the some kind of evaluation. Usually, we choose several more important factors as the evaluation criterion in order to make convenient for research. Then we assign some weight values to these factors and process spatial analysis then conclude some decision or evaluation to make support for decision-making. We can choose the factors that can make more impaction on the evaluation or decision-making using the method of Analytical Hierarchy Process (AHP). However, it has strong subjectivity of the factors' weight values assigned by this method. Rough set theory, which can effectively remove the impaction made by artificial factors, can make up the deficiency. It can make the spatial analysis more objective and more effective combining the two methods in GIS spatial analysis.