A NEW METHOD TO GENERATE FUZZY RULES FROM RELATIONAL DATABASE SYSTEMS FOR ESTIMATING NULL VALUES

DOI10.1080/01969720302850zbMath1024.68029OpenAlexW2143390909MaRDI QIDQ4483974

Shih-Wei Lee, Shyi-Ming Chen

Publication date: 27 May 2003

Published in: Cybernetics and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01969720302850

zbMATH Keywords

fuzzy decision treesfuzzy rules

Mathematics Subject Classification ID

Database theory (68P15)

Related Items (2)

ESTIMATING NULL VALUES IN RELATIONAL DATABASE SYSTEMS BASED ON GENETIC ALGORITHMS ⋮ A new approach for estimating null value in relational database

Cites Work

• Unnamed Item
• The concept of a linguistic variable and its application to approximate reasoning. I
• A NEW METHOD FOR CONSTRUCTING FUZZY DECISION TREES AND GENERATING FUZZY CLASSIFICATION RULES FROM TRAINING EXAMPLES
• GENERATING FUZZY RULES FROM RELATIONAL DATABASE SYSTEMS FOR ESTIMATING NULL VALUES
• ESTIMATING NULL VALUES IN THE DISTRIBUTED RELATIONAL DATABASES ENVIRONMENT
• Fuzzy sets

This page was built for publication: A NEW METHOD TO GENERATE FUZZY RULES FROM RELATIONAL DATABASE SYSTEMS FOR ESTIMATING NULL VALUES