Dynamic Stochastic Multi-criteria Decision Making Method Based on Prospect Theory and Conjoint Analysis

摘要：

　　A method based on prospect theory and conjoint analysis is proposed for dynamic stochastic multi-criteria decision making problems,in which the information about criteria weight is unknown and criteria values follow some kinds of distributions.Decision-makers attitude towards risk is introduced into this paper.Firstly,data is collected by investigation and criteria weights are derived by conjoint analysis.The prospect value of each alternative in different period is calculated according to distribution function.Then,index distribution decides time sequence weight,and overall prospect values of each alternative are obtained and ranked by aggregating prospect value in different period.Finally,an example of choosing best product illustrates the feasibility and effectiveness of this method.

关键词： Dynamic stochastic multi-criteria decision making Prospect theory conjoint analysis Distribution function

作者: Jun-hua Hu Peng Chen Liu Yang

作者单位: Business School of Central South University,Changsha,China

会议类型: 国际会议

会议名称: 2012 IEEE 5th International Conference on Management Engineering & Technology of Statistics (第五届(2012)管理工程与统计技术国际学术研讨会(ICMETS2012))

会议地点: 青岛

会议语种:英文

页码: 612-619

在线出版日期: 2012-07-20（万方平台首次上网日期，不代表论文的发表时间）