| 引用本文: | 朱颢东,钟勇.一种多属性和准则定序分类模型[J].哈尔滨工业大学学报,2010,42(3):500.DOI:10.11918/j.issn.0367-6234.2010.03.035 |
| ZHU Hao-dong,ZHONG Yong.Sequencing classification model on multiple attributes and criterias[J].Journal of Harbin Institute of Technology,2010,42(3):500.DOI:10.11918/j.issn.0367-6234.2010.03.035 |
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| 摘要: |
| 针对经典粗糙集理论在解决定性属性、定量属性以及准则属性同时出现的定序分类问题时能力较弱的这种情况,对经典粗糙集理论进行扩展,并给出了一个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"关系来代替经典粗糙集理论中的不可区分关系来获取知识的粗糙近似.实例验证表明该方法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,具有较好的有效性与优越性. |
| 关键词: 粗糙集理论 不可区分关系 定序分类问题 不可区分-相似-优势关系 |
| DOI：10.11918/j.issn.0367-6234.2010.03.035 |
| 分类号:TP18 |
| 基金项目:四川省科技计划资助项目(2008GZ0003);四川省科技攻关资助项目(07GG006-019) |
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| Sequencing classification model on multiple attributes and criterias |
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ZHU Hao-dong1,2, ZHONG Yong1,2
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1.Chengdu Institute of Computer Applications,Chinese Academy of Sciences,Chengdu 610041,China;2.The Graduate School of the Chinese Academy of Sciences,Beijing 100039,China)
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| Abstract: |
| Classic rough set theory solves problems by means of indiscernibility relation,but it is powerless to resolve the sequencing classification problems in which qualitative attributes,quantitative attributes and criteria exist at the same time.In view of this situation,classic rough set theory is extended,and then a decision analysis method based on the extended rough set theory is proposed.This method replaces the indiscernibility relation in original rough set theory with the indiscernibility-similarity-dominance relation and achieves rough approximation of knowledge.An example study shows that the method can effecively resolve the above mentioned problems and can deal with inconsistence in decision table. |
| Key words: rough set theory indiscernibility relation sequencing classification problem indiscernibilitysimilarity-dominance relation |
