基于WC-OWA算子的随机多准则决策方法

For multi-attribute decision-making problems, in which the information on criteria’s weights is incomplete certain and criteria’s values of alternatives are normal distribution, a new method based on WC-OWA operator is proposed. In this method, according to 3 principle of normal distribution, the criteria’s values of alternatives are transformed into interval numbers. And, interval numbers are aggregated by C-OWA operator. By using ideal close degree and WC-OWA operator, a nonlinear programming model is constructed .Then, the optimal criteria’s weights are obtained by using genetic algorithms to solve the nonlinear programming model. And ranking of alternatives is performed. Finally, an example is given to show the feasibility and availability of this method.