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多属性决策支持向量机模型与算法
引用本文:王强,沈永平, 陈英武.多属性决策支持向量机模型与算法[J].控制与决策,2006,21(12):1338-1342.
作者姓名:王强  沈永平  陈英武
作者单位:国防科学技术大学,信息系统与管理学院,长沙,410073
摘    要:分析了多属性决策问题.提出了基于支持向量机的多属性决策方法。首先分析了多属性决策支持向量机方法的机理;其次建立了多属性决策支持向量机方法的价值函数决策模型和方案序关系决策模型,用以训练支持向量机;再次提出了基于支持向量回归和分类的多属性决策支持向量机实现算法;最后给出了一个算例。

关 键 词:多属性决策  效用函数  支持向量机  决策模型
文章编号:1001-0920(2006)12-1338-05
收稿时间:2005-07-13
修稿时间:2006-04-07

Model and Algorithm for Multiple Attribute Decision Making Based on Support Vector Machine
WANG Qiang,SHEN Yong-ping,CHEN Ying-wu.Model and Algorithm for Multiple Attribute Decision Making Based on Support Vector Machine[J].Control and Decision,2006,21(12):1338-1342.
Authors:WANG Qiang  SHEN Yong-ping  CHEN Ying-wu
Affiliation:College of Information Systems and Management, National University of Defense Technology, Changsha 410073, China,
Abstract:A method for solving multiple attribute decision making(MADM) problems is proposed based on support vector machine(SVM).Firstly,the principle of decision making based on SVM is discussed.Secondly,two decision models are established to train SVM.One is based on the value function and the other is based on the preference relation of alternatives.Then,the implementation algorithms of MADM using support vector regression and classification are presented.An example illustrates the proposed method.
Keywords:Multiple attribute decision making  Utility function  Support vector machine  Decision model
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