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基于组合判断矩阵的评价方法
引用本文:叶军,王磊.基于组合判断矩阵的评价方法[J].计算机工程与应用,2010,46(34):146-148.
作者姓名:叶军  王磊
作者单位:南昌工程学院,计算机科学与技术系,南昌,330099
基金项目:江西省科技支撑计划项目
摘    要:借助于粗糙集理论中知识信息熵与互信息的知识,提出了一种用于改进层次分析法决策精度的改进的综合决策方法,该方法首先通过信息熵定义的属性重要度构造出客观判断矩阵,在此基础上将该客观判断矩阵和层次分析法中的主观判断矩阵相结合以得出一组合判断矩阵,并为此建立了一个能确定组合判断矩阵的最优化模型,最后通过由该最优化模型确定出的组合判断矩阵的权重来指导决策。算例表明该方法是可行的,能提高决策的准确度。

关 键 词:层次分析法  条件熵  属性重要度  判断矩阵
收稿时间:2010-3-16
修稿时间:2010-7-5  

Evaluation method based on combined judgement matrix
YE Jun,WANG Lei.Evaluation method based on combined judgement matrix[J].Computer Engineering and Applications,2010,46(34):146-148.
Authors:YE Jun  WANG Lei
Affiliation:(Department of Computer Science and Technology,Nanchang Institute of Technology,Nanchang 330099,China)
Abstract:Aiming to improve the decision-making precision of Analytic Hierarchy Process(AHP), an improved comprehensive method is proposed by means of the knowledge of information entropy and mutual information in rough sets theory. This method begins with constructing an objective judgement matrix by attribute significance defined by information entropy, and then gets a combinatorial judgement matrix with the objective judgment matrix and the subjective judgment matrix derived from AHP method,therefore establishes an optimization model which can determine the combinatorial judgement matrix. Finally, decision-making is guided by the combinatorial matrix's weight value determined by the optimization model.An illustrative example is given to show the higher decision precision,feasibility and effectiveness of this comprehensive method.
Keywords:Analytic Hierarchy Process(AHP)  conditional entropy  attribute significance  judgement matrix
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