FWNRS:A Fast Attribute Reduction Algorithm based on Weighted Neighborhood Rough Set-Reference-Cited by-同舟云学术

FWNRS:A Fast Attribute Reduction Algorithm based on Weighted Neighborhood Rough Set

Published:2023-04-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 8th International Conference on Mathematics and Artificial Intelligence
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Author:

Peng Xiaoli¹^ORCID,Wang Ping²^ORCID,Shao Yabin³^ORCID,Pu Chenggen³^ORCID,Qian Jie³^ORCID

Affiliation:

1. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China and Institute of Intelligent Manufacturing Technology, Sichuan University of Arts and Science, China

2. Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, China

3. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China

Funder

Doctoral Talent Training Program of Chongqing University of Posts and Telecommunications

National Key Research and Development Program of China

Chongqing Talent Plan Project

Intelligent Manufacturing Industry Technology Research Institute Open Fund

Multiple Sclerosis Foundation dimensional data perception and intelligent information processing Dazhou key laboratory project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594300.3594308

Reference22 articles.

1. Incremental attribute reduction with rough set for dynamic datasets with simultaneously increasing samples and attributes

2. Attribute-oriented cognitive concept learning strategy: a multi-level method

3. A Development of Granular Input Space in System Modeling

4. Grouping granular structures in human granulation intelligence

5. Spectral Clustering with Neighborhood Attribute Reduction Based on Information Entropy

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