Multiple criteria group decision making method based on intuitionistic normal cloud by Monte Carlo simulation
Wang Jian-qian · Systems Engineering - Theory & Practice · 2013
Intuitionistic normal cloud model is defined.And a multi-criteria group decision making method based on intuitionistic normal cloud is proposed.The uncertain decision information elicited from different decision makers are considered as some collections of the cloud drops of an intuitionistic normal cloud. Then,the parameters of this cloud can be estimated.For comparing the decision makers' preference on the alternatives,an algorithm for generating intuitionistic normal clouds drops is designed.And a Monte Carlo simulation based on this algorithm is adopted as well.The samples for this simulation are the drops of the intuitionistic normal clouds corresponding to the conjoint performances of the alternatives.The decision makers can order the alternatives and choose the feasible option according to the statistical results from the simulation.A practical example is also provided to illustrate the feasibility and validity of the proposed method.