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基于前景理论的多目标灰色局势决策方法
引用本文:刘勇,Jeffrey Forrest,赵焕焕,刘思峰,刘家树. 基于前景理论的多目标灰色局势决策方法[J]. 系统工程与电子技术, 2012, 34(12): 2514-2519. DOI: 10.3969/j.issn.1001-506X.2012.12.19
作者姓名:刘勇  Jeffrey Forrest  赵焕焕  刘思峰  刘家树
作者单位:1. 南京航空航天大学经济与管理学院, 江苏 南京 210006;2. 宾夕法尼亚州州立SR大学数学系, 宾夕法尼亚州 滑石 PA16057
基金项目:国家自然科学基金,中央高校基本科研业务费专项资金,教育部人文社科基金,江苏省普通高校研究生科研创新计划,南京航空航天大学博士学位论文创新与创优基金,南京航空航天大学科研基地创新创优基金(NJ2011009)资助课题
摘    要:鉴于决策者风险态度对多目标决策的影响,提出一种基于前景理论的多目标灰色局势决策方法。该方法首先利用奖优罚劣的线性变换算子对原始决策信息进行规范化处理,进而确定正负理想方案。基于前景理论和多目标灰色局势决策方法确定前景价值函数,并利用方案综合前景值最大化的多目标优化模型求解最优权向量,进而求得综合效果测度矩阵,而后采用区间数的可能度对每个事件的局势进行排序,最后通过实例验证了该模型的有效性和实用性。

关 键 词:多目标决策  前景理论  灰色局势  奖优罚劣  价值函数  权重函数

Multi-objective grey situation decision making method based on prospect theory
LIU Yong , Jeffrey Forrest , ZHAO Huan-huan , LIU Si-feng , LIU Jia-shu. Multi-objective grey situation decision making method based on prospect theory[J]. System Engineering and Electronics, 2012, 34(12): 2514-2519. DOI: 10.3969/j.issn.1001-506X.2012.12.19
Authors:LIU Yong    Jeffrey Forrest    ZHAO Huan-huan    LIU Si-feng    LIU Jia-shu
Affiliation:1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210006, China; 2. Mathematics Department, Slippery Rock University of USA, Slippery Rock PA16057, USA
Abstract:Aiming at the influence of decisioner’s attitude towards the multi objective decision, the multi-objective grey situation decision making method based on prospect theory is proposed. Firstly, the “rewarding good and punishing bad” linear transformation operator is used to standardize the original decision making information, and then the positive and negative ideal schemes are determined. According to the prospect theory and grey situation, the prospect value function is defined, and an optimization model is built. Then the optimum weight vector is solved, therefore the comprehensive effect measure matrix is obtained, so that the possibility of interval number is used to sort the situations for each. Finally, an investment decision making example validates the feasibility and effectiveness of the model.
Keywords:
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