基于多源密度信息集结算子的组合评价方法

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (12): 2882-2887.

基于多源密度信息集结算子的组合评价方法

易平涛1，高立群2，郭亚军1

1. 东北大学工商管理学院，辽宁沈阳 110004； 2. 东北大学信息科学与工程学院，辽宁沈阳 110004

出版日期:2009-12-24 发布日期:2010-01-03

Combined evaluation based on multi-sources information density aggregation operator

YI Ping-tao1, GAO Li-qun2, GUO Ya-jun1

1. School of Business Administration, Northeastern Univ., Shenyang 110004, China; 2. School of Information Science & Engineering, Northeastern Univ., Shenyang 110004, China

Online:2009-12-24 Published:2010-01-03

摘要/Abstract

摘要：

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。

Abstract:

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.

易平涛1，高立群2，郭亚军1. 基于多源密度信息集结算子的组合评价方法[J]. Journal of Systems Engineering and Electronics, 2009, 31(12): 2882-2887.

YI Ping-tao1, GAO Li-qun2, GUO Ya-jun1. Combined evaluation based on multi-sources information density aggregation operator[J]. Journal of Systems Engineering and Electronics, 2009, 31(12): 2882-2887.