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中国管理科学 ›› 2015, Vol. 23 ›› Issue (2): 123-130.doi: 10.16381/j.cnki.issn1003-207x.2015.02.015

• 论文 • 上一篇    下一篇

基于心理阈值的多属性决策问题目标调整研究

刘健1, 刘思峰2, 马义中1, 汪建均1   

  1. 1. 南京理工大学 经济管理学院, 江苏 南京 210094;
    2. 南京航空航天大学 经济与管理学院, 江苏 南京 210016
  • 收稿日期:2013-03-14 修回日期:2013-06-27 出版日期:2015-02-20 发布日期:2015-02-28
  • 作者简介:刘健(1982-),男(汉族),山东淄博人,南京理工大学经济管理学院,讲师,研究方向:决策分析.
  • 基金资助:

    国家自然科学基金青年项目(71301075);江苏省自然科学基金青年项目(BK20130770);中国博士后国际交流计划派出项目(21040072);中国博士后科学基金面上资助项目(2013M530261);江苏省博士后科研资助计划项目(1301108C);中央高校基本科研业务费资助项目(30920130132014);南京理工大学"卓越计划""紫金之星"项目资助;南京理工大学经济管理学院青年教师科研基金项目(JGQN1401)

A Study on Revisiting Multi-Attribute Decision Targets Based on Psychological Threshold

LIU Jian1, LIU Si-feng2, MA Yi-zhong1, WANG Jian-jun1   

  1. 1. School of Economics and Management, Nanjing University of Science and Technology, Jiangsu 210094, China;
    2. School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Jiangsu 210016, China
  • Received:2013-03-14 Revised:2013-06-27 Online:2015-02-20 Published:2015-02-28

摘要: 将决策者在决策指标上存在心理阈值的现状应用到多属性决策问题,提出先对决策目标调整再进行决策的方法。首先,对效益型、成本型、中间型指标构建相应的指标满意度函数和算法,针对不同类型的指标选择相应的算法,计算决策者在每个备选方案存在心理阈值属性上的满意度;其次,根据决策者满意度与心理阈值,调整决策目标组建新的决策信息表;再次,提出基于决策者满意度的属性赋权与信息集结算法模型,获得最优决策方案;最后,通过一个实际生活中的决策者购房案例,表明该方法的科学合理性。

关键词: 决策分析, 心理阈值, 满意度, 目标调整, 属性赋权, 信息集结

Abstract: Decision maker's utility or value may not depend on the levels of performance on different criteria, but instead on whether the levels meet a target or threshold on one or more criteria. In this paper, based on this psychological threshold, a new decision analysis method is proposed. First, three criteria satisfaction functions are constructed corresponding to three different types of criteria, respectively. Second, the decision targets according to the satisfaction degrees of the decision makers are revised. Using the selected alternatives and criteria, a new decision table is constructed. Third, a new method is proposed to obtain the criteria and aggregate the information based on the satisfaction degree of the decision makers. Finally, an example is used to demonstrate that the method is scientific and effective as well as feasible.

Key words: decision analysis, psychological threshold, satisfaction degree, revisiting decision targets, obtaining criteria weights, information aggregation

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