Abstract:

A method based on the prospect theory is proposed to solve the multiple attribute decision making problem in which the attributes are given by the cloud model and target aspiration and growth aspiration are considered. Target aspiration and growth aspiration are denoted first, the similarity measurement method is established for the attribute value and the dual aspirations which are given by the cloud model. The future value function is defined based on the cumulative prospect theory and cloud model similarity, and the weight optimization model is established based on the maximum comprehensive prospect value difference among the alternatives. The example illustrates the application and feasibility of the proposed method.