A study of a multi-objective decision model and algorithm for risk investment based on different risk preferences

A multi-objective decision model for risk investment is constructed in this paper, by using the Linear Additive Weighting Method, TOPSIS method and Oscillating Value Method, and a prior order of optimal selection is given under different risk preference, and then an integrated prior order of optimal selection is given by using the Average Value Method, so that the shortcoming of a single method is avoided. We obtain a more comprehensive optimal selection. An example is given to illuminate the feasibility and validity of algorithm.