Adjustable Fuzzy Rough Reduction: A Nested Strategy
As a crucial extension of Pawlak's rough set, a fuzzy rough set has been successfully applied in real-valued attribute reduction. Nevertheless, the traditional fuzzy rough set is not provided with adjustable ability due to the maximal and minimal operators. It follows that the associated measur...
Main Authors: | Ying Shi, Hui Qi, Xiaofang Mu, Mingxing Hou |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2021/5513722 |
Similar Items
Similar Items
-
Fuzzy-rough set models and fuzzy-rough data reduction
by: Hassan Mishmast Nehi, et al.
Published: (2020-01-01) -
Knowledge Granularity for Continuous Parameters
by: Hui Qi, et al.
Published: (2021-01-01) -
A Study on Fuzzy Classification Mining Applying Fuzzy Rough Attribute Reduction
by: Wei-Hsuan Lee, et al.
Published: (2016) -
The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
by: Zhiming Zhang
Published: (2013-01-01) -
Granular Space Reduction to a β Multigranulation Fuzzy Rough Set
by: Junyi Zhou, et al.
Published: (2014-01-01)