A Method for Weight Assignment By Dominance-Based Rough Sets Approach

被引：4
|
作者：
Zhang Rong [1 ,2 ]
Liu Sifeng [1 ]
Liu Bin [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210016, Peoples R China
[2] Henan Agr Univ, Coll Informat & Mgt Sci, Zhengzhou 450002, Peoples R China
来源：
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
基金：
中国国家自然科学基金;
关键词：
Dominance-based rough set; Multi-attribute decision-making; Weight; Unsupervised learning; APPROXIMATION;
D O I：
10.1109/CCDC.2009.5195288
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In many real problems, it does not consider the ranking characteristic of criteria to make multi-criteria decision with classical rough sets theory. By Dominance-based Rough Sets Approach (DRSA), this paper develops methods for weight assignment respectively under two settings, with decision sorting classes and without decision sorting classes. Compared to present methods, the advantage of our methods is that: from descriptive set of the given problem, extracts the inherent rules implied by alternatives dominance relations with respect to each attribute, and avoids excessively depending on experts' experience; realizes completely data driving. Finally an example illustrates our methods are effective and reasonable.
引用
收藏
页码：6060 / +
页数：3
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