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中国管理科学 ›› 2020, Vol. 28 ›› Issue (2): 220-230.doi: 10.16381/j.cnki.issn1003-207x.2020.02.021

• 论文 • 上一篇    

基于愿景满意度函数的多属性群决策方法

赵萌1,2, 张晨曦1, 胡亦奇2, 李刚1,2   

  1. 1. 东北大学工商管理学院, 辽宁 沈阳 110819;
    2. 东北大学秦皇岛分校管理学院, 河北 秦皇岛 066004
  • 收稿日期:2017-10-31 修回日期:2018-03-22 出版日期:2020-02-20 发布日期:2020-03-03
  • 通讯作者: 赵萌(1981-),女(汉族),河北秦皇岛人,东北大学秦皇岛分校副教授,硕士生导师,研究方向:多属性决策、熵决策,E-mail:ningmeng5072008@163.com. E-mail:ningmeng5072008@163.com
  • 基金资助:
    国家自然科学基金资助项目(71701037,71971051,71601041);中央高校基本科研业务费项目(N182304025)

Multi-attribute Group Decision Making Method based on Aspiration Satisfaction Function

ZHAO Meng1,2, ZHANG Chen-xi1, HU Yi-qi2, LI Gang1,2   

  1. 1. School of Business Administration, Northeastern University, Shenyang 110819, China;
    2. School of management, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
  • Received:2017-10-31 Revised:2018-03-22 Online:2020-02-20 Published:2020-03-03

摘要: 针对定性和定量属性相混合的多属性群决策问题,提出基于愿景满意度函数的多属性群决策方法。该方法从损失和收益的角度考虑问题,通过计算标准化的愿景值和属性值之间的距离,建立考虑专家不同风险态度的愿景满意度函数,求得专家各自的满意度,最后应用简单加权算子集结专家的排序结果。通过案例分析和算法对比说明了该算法可适用于不同风险态度的专家进行决策,而风险态度和愿景值的分析结果表明当属性不确定性较大时,专家看重损失或者收益取决于专家的风险态度和愿景值的高低,该方法可为参与决策的双方提供有价值的参考意见。

关键词: 多属性群决策, 愿景, 风险态度, 愿景满意度函数

Abstract: For multi-attribute group decision-making problems composed of qualitative and quantitative attributes, aspiration is an important factor in decision making for both individuals and organizations. The existing researches mainly combine the aspiration and Prospect Theory to get the prospect value for selective preference. However, Prospect Theory assumes that most decision makers display a risk preference when facing the prospect of loss, and display a risk aversion when facing the prospect of gain. The theory sets fixed risk attitude coefficient to solve prospect value, and it cannot be fully applicable to solve the multi-attribute decision making problems with aspiration satisfaction. Hence scientific decisions should be made according to the decision-makers' psychological aspiration satisfaction. In this paper, a new method called two-stage aspiration satisfaction function is proposed based on the combination of attribute aspiration, risk attitude, utility function and satisfaction. In this method, the distances between the standardized aspiration values is calculated and the attribute values is calculated by using the distance computational formula and the differentiation method on the cost and benefit of attribute. Then the as piration satisfaction function is built which integrates varied risk attitudes and aspiration of experts into the multi-attribute decision-making method to get satisfaction. Finally, the weighted algorithm is used to get the sorting results of aggregation experts. In the case analysis, comparison with the existing algorithms and risk attitude analysis show the superiority that this algorithm can be used for decision makings of different risk attitudes in investors. The analysis results of risk attitude and aspiration represent that investor's value loss or gain depends on the risk attitude and the level of aspiration while the attribute uncertainty is large. Computational results also have indicated that the proposed method is robust with respect to the variance of experts' different risk attitudes and the level of aspirations. When companies' attributes vary a lot, an interesting result reveals that the risk averse specialists value losses more than gains,and the risk appetite experts consider gains to be more important. What's more, the proposed method could be a useful tool for investors with different risk attitude who tries to make a profit, and it is also useful for companies to be the winner by sharpening their attributes. In particular, a company, who wants to be an investee, needs to improve the gain attributes, if the investor's aspiration is high; or to improve the loss attributes, if the investor's aspiration is low.

Key words: multi-attribute group decision making, aspiration, risk attitude, aspiration satisfaction function

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