New approach for landfill site selection using spatial rough set

This paper introduces how to apply rough set classification and attribute reduction method in the field of landfill site selection. Unlike the analysis in the past which focused solely on the spatial data of the map, in this paper, rough set attribute decision table specific for the criteria is created, thus to meet the needs for landfill site selection decision. This paper proposes a solution for the landfill site selection problem by employing the rough set classification and analyzing the relationship between the conditional attributes/criteria using rough set technique and the principles of GIS Analysis. Rough Set theory may be a useful method to be employed in this field. It represents a different mathematical approach to uncertainty by capturing the indiscernibility. Many different phenomena can be indiscernible in some contexts and classified in the same way when combining available information about them. Several experiences exist in the use of Rough Set theory in data mining, knowledge analysis and approximate pattern classification, but spatial component lacks in all these research streams. This approach has been applied in Mansoura and Dekerness Cities, Egypt as a case of our study.