INTELLIGENT COLLABORATIVE DECISION MODEL FOR SIMULATION OF DISASTER DATA IN CITIES AND URBANLIZATION.

In recent years, scientists and researchers have been investigated conventional urban disaster and earthquake models for particular disaster mitigation categories, one of the basic solutions in single decision models in theory and practice.This paper presents a novel approach integrated by intelligent techniques and Self-Organizing Maps (SOM), called Intelligent Collaborative Decision Model for dynamic simulation of urban disaster and earthquake mitigations in real-time uncertain environments. This approach uses to aggregate multiple dimensional data series from networking sensors and tangible/intangible disaster events, together with spatial decisions made from disaster experts. In addition, this approach aimstooptimize appropriatedecisions at the right time and reduce risks of pre and post urban disasters and earthquake. To confirm the study performance this proposed model has validated by experiments usingdynamic simulation results. In simulation experiments, this model can be extended by incorporating Geographic Information Systems/Google API to demonstrate disaster and earthquake phenomenain complex geological environments.