Knowledge reduction based on divide and conquer method in rough set theory

DOI10.1155/2012/864652zbMath1264.68175OpenAlexW2093938028WikidataQ58912303 ScholiaQ58912303MaRDI QIDQ1955292

Feng Hu, Guo-Yin Wang

Publication date: 11 June 2013

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/864652

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Economics of information (91B44)

Uses Software

• LERS
• C4.5

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Rule acquisition and attribute reduction in real decision formal contexts
• Analysis of alternative objective functions for attribute reduction in complete decision tables
• Rudiments of rough sets
• Rough sets: some extensions
• Rough sets and Boolean reasoning
• Discernibility matrix simplification for constructing attribute reducts
• An efficient accelerator for attribute reduction from incomplete data in rough set framework
• On Partial Covers, Reducts and Decision Rules with Weights
• Approximate Boolean Reasoning: Foundations and Applications in Data Mining
• Reduction algorithms based on discernibility matrix: The ordered attributes method

This page was built for publication: Knowledge reduction based on divide and conquer method in rough set theory