Comprehensive Evaluation Based on Stochastic Simulation
Lingyu Li · Journal of Northeastern University · 2010
In sequential relation analysis,the ratios of weightnesses between indices as given by experts are always an interval of ratios.A comprehensive evaluation method based on Monte Carlo simulation as a stochastic one is therefore presented,where the dot assignment can be extended to the interval assignment.Based on the stochastic simulation and according to the classical comprehensive evaluation process,the superiority matrix reflecting the relation between the superiority and inferiority of the objects being evaluated is simulated.Then,the optimal ranking of all the objects to be evaluated is given.This method is the extension and generalization of the classic sequential relation analysis.A numerical example is given to verify its validity.