Decision support system for crisis management using temporal fuzzy logic

Crisis management involves a lot of factors and variables that have to be monitored and considered. Human judgment becomes far from optimal as these variables and factors increase in number. Thus, in these situations, we need the help of decision support system to help the decision making process. In this paper we observe the main decision making factors that should be considered in crisis management situation, we define the crisis as a substantial change in the value of regular environment variables and factors, as the environment is uncertain we propose to use a fuzzy set theory to represent the variables of the system, we show how we can use temporal logic to represent the temporal nature of crises, we present a combination of fuzzy and temporal inference techniques, and propose an algorithm to support the decision making, the algorithm is based on temporal simulation which make use of temporal relations represented by temporal statements, we finally show that the proposed model and algorithm can suite a lot of crisis management situations.