A Dynamic MAUT Decision Model for R&D Project Selection

RD and then, through a dynamic weight evaluation method to simulate the change of attributes’ weights; and finally select the best alternative according to the simulation statistics. For illustration, a real R&D investment example is utilized to show the feasibility and effectiveness of this model. Empirical results show that it not only can take decision-makers' risk propensity and risk tolerance into account, but also can provide indications for a robustness control and reflect the sensitivity of the ranking results. The dynamic MAUT decision model helps decision-makers analyzing comprehensively and dynamically so that an organization can use to improve quality of its project selection.