Intelligent decision support for unconventional emergencies

Abstract

This chapter is a conceptual writing speaking about various Decision Support Systems (DSS) available for emergency management and provides a new perspective that is based on the best practices for developing a DSS. There is a requirement of creating citywide situational awareness and its emergency management, which helps its various users, designated as experts in disaster management and city personnel/planners in taking prompt decision in the state of various emergencies. This chapter focuses upon effective and efficient storage, analysis and processing of emergency information, safety plans and resources; and applying an integrated approach of rule base reasoning and case base reasoning to generate the recommendations in case of emergency along with proper justification; hence minimizing the loss of life and property. An ontology representation scheme has been used to represent human knowledge and reason with it. The actions/recommendations are determined based on the historical data (case base) and actions taken, with its real-time synthesis; and validated through the use of existing rules (rule base).