An incremental attribute reduction approach based on knowledge granularity under the attribute generalization
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- 作者：Yunge Jinga ; b ; jyg701022@163.com" class="auth_mail" title="E-mail the corresponding author ; Tianrui Lia ; trli@swjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Junfu Huanga ; 990504422@qq.com" class="auth_mail" title="E-mail the corresponding author ; Yingying Zhanga ; yingzhang86@126.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Decision system ; Knowledge granularity ; Attribute reduction ; Incremental learning ; Rough set theory
- 刊名：International Journal of Approximate Reasoning
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：76
- 期：Complete
- 页码：80-95
- 全文大小：481 K
文摘
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Investigation of matrix-based incremental mechanisms of knowledge granularity.
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Development of a matrix-based incremental updating attribution reduction method when adding multiple attributes.
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Presentation of an incremental reduction method based on non-matrix to increase the efficiency of the matrix-based method.