Attribute Reduction Methods Based on Pythagorean Fuzzy Covering Information Systems
By introducing covering rough sets to Pythagorean fuzzy environment, we construct a new rough set model called the Pythagorean fuzzy λ-covering rough set. Based on the rough set model, we adopt the discernibility matrix method to obtain its attribute reduction. First, we give the definiti...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8986558/ |