| 关于偏好信息全序化的加权TOPSIS新方法 |
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| 引用本文： | 董威,王建辉,顾树生.关于偏好信息全序化的加权TOPSIS新方法[J].系统仿真学报,2007,19(17):3996-3999. |
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| 作者姓名： | 董威 王建辉 顾树生 |
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| 作者单位： | 东北大学,信息科学与工程学院,辽宁,沈阳,110004 |
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| 摘 要： | 针对通过辨识矩阵无法求取偏序集,不能进行后续的偏好信息全序化算法的普遍问题,提出了基于粗糙集的加权TOPSIS偏好信息全序化方法。首先根据属性间差异程度计算各个属性的权值,然后再对信息系统进行加权TOPSIS排序分析。克服了原算法对信息表本身的过严限制,扩大了偏好信息全序化的粗糙集方法的应用范围。最后通过在球团厂中链蓖机-回转窑系统信息表的应用验证了该方法的有效性。
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| 关 键 词： | 粗糙集 权重 偏好信息 全序化 |
| 文章编号： | 1004-731X（2007）17-3996-04 |
| 收稿时间： | 2006-06-30 |
| 修稿时间： | 2006-08-03 |
New Algorithm for Weighted TOPSIS Linearization with Preference Information on Alternative |
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| DONG Wei,WANG Jian-hui,GU Shu-sheng.New Algorithm for Weighted TOPSIS Linearization with Preference Information on Alternative[J].Journal of System Simulation,2007,19(17):3996-3999. |
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| Authors: | DONG Wei WANG Jian-hui GU Shu-sheng |
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| Institution: | College of Information Science and Engineering, Northeastern University, Shenyang 110004, China |
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| Abstract: | Based on rough set and TOPSIS, a new method was proposed for multiple attribute decision making with the given preference information on alternatives. A simple algorithm to the method was proposed, which was equivalent to the method of additive weighting algorithm with special weighting. The values for the weight of every attribute were computed. Then combine rough set and TOPSIS for comprehensive evaluation were described, that could be widely effective in much process. The algorithm on grate-kiln data sets at a pelletizing factory was tested, and the experiment results show that it is effective. |
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| Keywords: | TOPSIS |
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