| 多类别属性的定序分类模型 |
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| 引用本文： | 朱颢东,钟勇. 多类别属性的定序分类模型[J]. 北京邮电大学学报, 2009, 32(3): 113-117 |
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| 作者姓名： | 朱颢东 钟勇 |
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| 作者单位： | 1. 中国科学院,成都计算机应用研究所,成都,610041
2. 中国科学院,研究生院,北京,100039 |
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| 基金项目： | 四川省科技计划项目，四川省科技厅科技攻关项目 |
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| 摘 要： | 经典粗糙集方法是通过不可区分关系来获取知识的，但它对定性属性、定量属性以及准则属性同时出现的定序分类问题就显得无能为力。针对这种情况，给出一种基于扩展粗糙集的决策分析方法，该方法使用“不可区分-相似-优势”关系代替经典粗糙集中的不可区分关系来获取知识的粗糙近似，不但能够解决上述问题而且还能处理决策表中可能存在的不一致现象。最后通过一个实例说明新方法的有效性与优越性。
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| 关 键 词： | 粗糙集 不可区分关系 定序分类问题 粗糙近似 |
| 收稿时间： | 2008-10-24 |
| 修稿时间： | 2009-02-21 |
Sequencing Classification Model on Multiple Attributes and Criterias Based on Extended Rough Set |
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| ZHU Hao-dong,ZHONG Yong. Sequencing Classification Model on Multiple Attributes and Criterias Based on Extended Rough Set[J]. Journal of Beijing University of Posts and Telecommunications, 2009, 32(3): 113-117 |
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| Authors: | ZHU Hao-dong ZHONG Yong |
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| Affiliation: | ZHU Hao-dong1,2,ZHONG Yong1,2 (1.Chengdu Institute of Computer Application,Chinese Academy of Sciences,Chengdu 610041,China,2.School of Graduate,Beijing 100039,China) |
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| Abstract: | Knowledge acquirement through classic rough set approach is got by means of indiscernibility relation,but it is weak to resolve the sequencing classification problems which contain qualitative and quantitative attributes as well as criteria's.A decision analysis method based on extension of rough set theory is proposed.The method replaces indiscernibility relation in original rough set theory with the indiscernibility-similarity-dominance relation and obtains rough approximation of knowledge,it will not onl... |
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| Keywords: | Rough Set Indiscernibility Relation Sequencing Classification Problem Rough Approximation |
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