This paper deals with a steady state load-shedding strategy considering the effect of uncertain data on generation supplies and loads. Uncertainty data are modeled by fuzzy numbers and a genetic algorithm is used to solve the load-shedding problem. The method is applied on two test case networks. Results prove additional enhancements for improving continuity of service in power systems during emergencies.