An Aggregation Framework for Time Series-based MCDA

摘要：

Multiple criteria decision analysis (MCDA) is an important part of modern decision science.This paper is devoted to investigating the time series-based multiple criteria decision analysis (TSMCDA) problems where the decision information is provided by decision maker(s) at different time periods.First, we define the concept of ordered weighted averaging (OWA) and based on the OWA aggregation method.Next, a hybrid approach integrating OWA aggregation is proposed to tackle TS MCDA problems.Then, a numerical example is provided to demonstrate the proposed approach and the results are compared for different aggregation settings and confirm the rankings from different scenarios.

关键词： Multiple Criteria Decision Analysis (MCDA) Time Series-based Multiple Criteria Decision Analysis (TS MCDA) Ordered Weighted Averaging (OWA) OWA aggregation

作者: ZHOU Ming CHEN Ye

作者单位: College of Economics and Management Nanjing University of Aeronautics and Astronautics Nanjing,China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

会议地点: 南京

会议语种:英文

页码: 578-582

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）