| 引用本文： |
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陈胜,曾雪兰,梅良才.基于贝叶斯粗糙集模型的属性约简算法[J].广西科学,2009,16(4):389-391. [点击复制]
- CHEN Sheng,ZENG Xue-lan,MEI Liang-cai.Attribute Reduction Algorithm of Bayesian Rough Sets Model[J].Guangxi Sciences,2009,16(4):389-391. [点击复制]
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| 摘要: |
| 在分析贝叶斯粗糙集模型已有的约简算法的基础上,从含有多个决策类情况下的全局相对增益函数的角度,利用二进制编码方法给出一种求贝叶斯粗糙集所有约简及核的算法,并基于实际应用,给出对求出的所有约简进行筛选的拓展算法。通过算例说明算法的实用性和有效性。 |
| 关键词: 粗糙集 属性约简 R约简 贝叶斯粗糙集模型 |
| DOI： |
| 投稿时间：2009-01-15修订日期：2009-09-25 |
| 基金项目:国家自然科学基金项目(70861001);广西自然科学基金项目(桂科自0991027);广西研究生教育创新计划项目(105930903069)资助 |
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| Attribute Reduction Algorithm of Bayesian Rough Sets Model |
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CHEN Sheng, ZENG Xue-lan, MEI Liang-cai
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| (College of Mathematical and Information Science, Guangxi University, Nanning, Guangxi, 530004, China) |
| Abstract: |
| With an analysis based on previous method of redution algorithm of bayesian rough sets modle, from the view of the global relative gain function contained of multiple decision classes, based on the binary code method, an algorithm for solving all reductions and nuclear is given.Furthermore, the proposed algorithm is extended from the point of view of the practical appliction, a method to screening all of the reduction is propsed, and the output is the optimal reduction.Finally, an example is used to demonstrate that the proposed algorithm is practical and effective. |
| Key words: rough sets attribute reduction R reduction Bayesian rough sets mode |
