A Variable Precision Rough Set Based Model for Emergency Scheduling

With emergency scheduling as background,the variable precision emergency scheduling problem is studied so as to improve uncertain information processing capability under different precisions.According to the characteristics of multi-resource,multi-depot,multi-demand point,and emergency scheduling problem with time-varying constraints between supply and demand,a multi-objective emergency scheduling model with the objectives of the shortest time and the smallest cost is established.The scope of emergency response total time is proved,thus the scopes of transportation cost and time in the model are deduced.Under the premise of the above theorem,the particle swarm optimization algorithm for solving the model is designed.Its optimal objective function value is compared with that under random pattern,and the result shows the effectiveness of the model and the algorithm proposed.