属性和专家权重调整的自适应算法  

Adaptive Algorithm for Adjusting Weights of Decision-Makers and Attributes

作　　者：孙义[1,2] 黄海峰[1] 

机构地区：[1]北京工业大学经济管理学院 [2]神华科学技术研究院

出　　处：《自动化与信息工程》2013年第2期1-5,共5页Automation & Information Engineering

基　　金：联合国环境规划署(UNEP)"中国新能源发展与绿色投资"项目(40011212201006)

摘　　要：研究多属性群决策中权重调整问题。首先,对AHP法和复相关系数法计算得到的属性权重进行多目标优化;其次,计算专家个体决策结果与群体决策结果的灰色关联度,并结合初始专家权重计算出专家权重的修正值,进而计算相应的群决策结果;然后,根据2阶Minkowski距离对专家权重进行自适应调整,直至计算出稳定的专家权重;最后通过对风电机组设备供应商的评价证实了该方法的可行性与实用性。Adaptive algorithm of correcting the attribute weights and the weights of decision-makers is studied. Firstly, the attribute weights are respectively optimized by methods of AHP and entropy. Secondly, the objective weights of decision-makers are calculated by the grey correlation degree between the decision results of the individual and the group by combining with the initial weight. The objective weights are taken as the value of correcting-weight to correct the weights of decision-makers. The result is calculated after the correction, and the weight-correcting is continued on the basis of the new result. Based on 2-Norm Minkowski Measure, the steady weights and final result of group decision-making are calculated after the process of correction. Finally, a numerical example to evaluate Wind Power equipment supplier shows the feasibility and practicability of the proposed algorithm.

关 键 词：多属性群决策 多目标优化 灰色关联 

分 类 号：O225[理学—运筹学与控制论] TP301.6[理学—数学]