部分权重信息下基于两阶段优化的多属性决策方法  

A Method Based on Two-phase Optimization for Multi-attribute Decision-making under Partial Weight Information

作　　者：周宏安[1] 梁晓龙[2] 房向荣[3] 杨源[2] 

机构地区：[1]陕西理工学院数学系 [2]空军工程大学工程学院,陕西西安710038 [3]西安邮电学院电子与信息系,陕西西安710061

出　　处：《空军工程大学学报（自然科学版）》2006年第5期85-87,共3页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：陕西省自然科学基金资助项目(2004A05);陕西省教育厅科学研究资助项目(06JK324)

摘　　要：研究了只有部分权重信息(区间数)且属性值为定值的多属性决策问题。首先,基于局部与全局最优综合属性值,分别建立了一个目标规划模型。其次,通过求解这两个模型获得方案的排序,提出了基于两阶段规划的多属性决策新方法,该方法具有操作简便且易于上机实现的特点。最后,通过实例说明模型及方法的可行性和有效性。The multi- attribute decision making problems that the attribute weights （interval numbers） are partly known and the attribute values are numeric are investigated. Firstly, based on the optimal overall attribute values of alternatives in local and whole, two goal -programming models are established, respectively. Secondly, the ranking priorities on alternatives are obtained by solving the two models. A novel method based on two - phase goal prograrnming model for multi -attribute decision -making is proposed. The method is characterized by simple operation and easy to implement on computer. Finally, a practical example is illustrated to show the feasibility and availability of the developed model and method.

关 键 词：多属性决策 目标规划 权重 排序 

分 类 号：C934[经济管理—管理学] O223[理学—运筹学与控制论]