基于多源密度信息集结算子的组合评价方法

基于密度加权平均（density weighted averaging, DWA）中间算子的集结性质，构建了面向组合评价的DWA For ce算子，该算子对用于“组合评价”的“甄别奖惩”思想进行了方法性的拓展，可通过参数的控制对“甄别奖惩”的程度进行无限级的调节。DWAFor ce算子具有适合组合评价问题的多种优良性质，并能对点数据或向量数据进行处理，同时具备了组合优化评价值或序值的集结结构。最后用一个算例验证了DWAFor ce算子的有效性及一些新颖的特征。

Combined evaluation based on multi-sources information density aggregation operator

A DWA_(For-ce) operator facing combined evaluation is built based on the density weighted aggregation operator.The DWA_(For-ce) operator extends the idea of discriminating rewards and punishment used for combined evaluation and carries out unrestricted adjusting on discriminating rewards and punishment by the control of the parameter,which improves the flexibility of this method.Furthermore,the DWA_(For-ce) operator has many good qualities.It can also deals with the point and vector arguments,and possesses the aggregation structure of combined optimization evaluation values or order values.Finally,a numerical example is given to testify the effectiveness and some novel characteristics of the DWA_(For-ce) operator.