Quick reduct with multi-acceleration strategies in incomplete hybrid decision systems-Reference-Cited by-同舟云学术

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Quick reduct with multi-acceleration strategies in incomplete hybrid decision systems

Published:2023-10-28 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Ge Hao,Yang Chuanjian,Xu Yi,Peng Gongjian

Funder

Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Higher Education Natural Science Foundation of Anhui Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-023-01965-9.pdf

Reference55 articles.

1. Chen HM, Li TR, Fan X, Luo C (2019) Feature selection for imbalanced data based on neighborhood rough sets. Inf Sci 483:1–20

2. Chen Y, Liu KY, Song JJ, Fujita H, Yang XB, Qian YH (2020) Attribute group for attribute reduction. Inf Sci 535:64–80

3. Chen Y, Yang XB, Li JH, Wang PX, Qian YH (2022) Fusing attribute reduction accelerators. Inf Sci 587:354–370

4. Chen YM, Zhang ZJ, Zheng JZ, Ma Y, Xue Y (2017) Gene selection for tumor classification using neighborhood rough sets and entropy measures. J Biomed Inform 67:59–68

5. Chen Z, Liu KY, Yang XB, Fujita H (2022) Random sampling accelerator for attribute reduction. Int J Approx Reason 140:75–91

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