摘要
For neighborhood rough set attribute reduction algorithms based on dependency degree,a neighborhood computation method incorporating attribute weight values and a neighborhood rough set attribute reduction algorithm using discernment as the heuristic information was proposed.The reduction algorithm comprehensively considers the dependency degree and neighborhood granulation degree of attributes,allowing for a more accurate measurement of the importance degrees of attributes.Example analyses and experimental results demonstrate the feasibility and effectiveness of the algorithm.
基金
Anhui Provincial University Research Project(Project Number:2023AH051659)
Tongling University Talent Research Initiation Fund Project(Project Number:2022tlxyrc31)
Tongling University School-Level Scientific Research Project(Project Number:2021tlxytwh05)
Tongling University Horizontal Project(Project Number:2023tlxyxdz237)。
