A Rough Set and GIS Based Approach for Selecting Suitable Shelters during an Evacuation Process

Abstract

<p align="justify"> Humanity suffers an ever-present threat of crises. In the event of a crisis, the population in affected areas will be in danger and will need to be evacuated to a safer in order to protect their lives. One of the difficulties in emergency management is quickly and accurately selecting suitably safe areas of refuge. This paper aims to explain an evacuation shelter selection process that uses rough set theory and a geographical information system (GIS). The proposed approach uses rough set theory concepts to classify shelters and selects suitable shelters on the basis of three factors: distance, capacity, and the availability of life requirements. The preparation of data and reporting of results are performed via the GIS environment. The proposed approach was implemented using Masoura,Egypt, as a case study and the re- sults of this implementation are presented. </p

Rough‐set belief rule model using multinomial subjective logic

“…The heuristic algorithm of the attribute reduction based on the attribute significance is introduced. Rough set theory has been successfully used for Multi-Criteria Decision Aid Methods for the Selection of Investment Projects [12], Predicting High or Low Transfer Efficiency of Photovoltaic Systems [13], Rainfall Prediction Model [14], Selecting Suitable Shelters during an Evacuation Process [15]. Zhang et al [16] used the condition attribute to construct the approximation set X (or concept) directly for the knowledge base of the discourse domain.…”