ADAPTIVE FUZZY LOGIC-BASED FRAMEWORK FOR HANDLING IMPRECISION AND UNCERTAINTY IN CLASSIFICATION OF BIOINFORMATICS DATASETS

DOI10.1142/S0219876211002496zbMath1245.93073MaRDI QIDQ2905145

Zehasheem Rasheed, Mohamed al-Mulhem, Tarek Helmy

Publication date: 24 August 2012

Published in: International Journal of Computational Methods (Search for Journal in Brave)

zbMATH Keywords

classificationbioinformaticsadaptive fuzzy logic

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42)

Uses Software

• ElemStatLearn

Cites Work

• Unnamed Item
• An extensive comparison of recent classification tools applied to microarray data
• The concept of a linguistic variable and its application to approximate reasoning. I
• On the optimality of the simple Bayesian classifier under zero-one loss
• Tree induction for probability-based ranking
• Fuzzy sets
• The elements of statistical learning. Data mining, inference, and prediction

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