A Novel Generic Hebbian Ordering-Based Fuzzy Rule Base Reduction Approach to Mamdani Neuro-Fuzzy System

DOI10.1162/neco.2007.19.6.1656zbMath1119.68152OpenAlexW2093487943WikidataQ51916919 ScholiaQ51916919MaRDI QIDQ3593967

Chai Quek, Geok See Ng, Feng Liu

Publication date: 6 August 2007

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco.2007.19.6.1656

zbMATH Keywords

accuracyinterpretabilityneuro-fuzzy modelingHebb rule reduction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• RSPOP

Cites Work

• Structure identification of fuzzy model
• Self-organized formation of topologically correct feature maps
• Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
• Evolutionary modular design of rough knowledge-based network using fuzzy attributes
• A review and comparison of six reasoning methods
• Fuzzy identification of systems and its applications to modeling and control
• An experiment in linguistic synthesis with a fuzzy logic controller
• RSPOP: Rough Set–Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm
• Data-based fuzzy rule test for fuzzy modelling

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