Rough sets theory and its extensions for attribute reduction: a review
The rough sets theory is a mathematical tool to express vagueness by means of boundary region of a set. The main advantage of this implementation of vagueness is that it requires no human input or domain knowledge other than the given data set. Several efforts have been made to make close the rough...
Saved in:
Main Author: | Sadegh Eskandari |
---|---|
Format: | Article |
Language: | English |
Published: |
REA Press
2021-06-01
|
Series: | Big Data and Computing Visions |
Subjects: | |
Online Access: | https://www.bidacv.com/article_142085_eb1f70ca734778c2b84efe1859a862d9.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fermatean neutrosophic rough set
by: S Bhuvaneshwari, et al.
Published: (2024-12-01) -
Combined Rough Sets and Rule-Based Expert System to Support Environmentally Oriented Sandwich Pallet Loading Problem
by: Piotr Sawicki, et al.
Published: (2025-01-01) -
Intuitionistic Hesitant Fuzzy Rough Aggregation Operator-Based EDAS Method and Its Application to Multi-Criteria Decision-Making Problems
by: Muhammad Kamraz Khan, et al.
Published: (2024-12-01) -
Enhancing the Success of Extension Programs with the Social Exchange Theory
by: Amanda D. Ali, et al.
Published: (2017-05-01) -
Enhancing the Success of Extension Programs with the Social Exchange Theory
by: Amanda D. Ali, et al.
Published: (2017-05-01)