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Evolutionary approaches to fuzzy modelling for classification
Qiang Shen
, Michelle Galea
Department of Computer Science
Research output
:
Contribution to conference
›
Paper
11
Citations (Scopus)
272
Downloads (Pure)
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Dive into the research topics of 'Evolutionary approaches to fuzzy modelling for classification'. Together they form a unique fingerprint.
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Computer Science
Evolutionary Algorithms
75%
Knowledge Acquisition
50%
Classification (Machine Learning)
25%
Rule Base
25%
Accuracy
25%
Partial Solution
25%
Membership Function
25%
Learning Approach
25%
Fuzzy Modeling
25%
Knowledge Discovery
25%
Contexts
25%
Reasoning System
25%
Application
25%
Data Mining
25%
Evolutionary Approach
25%
Evolutionary Computation
25%
Evaluation Criterion
25%
Classification
25%
Comprehensibility
25%
Biochemistry, Genetics and Molecular Biology
Learning
75%
Evolutionary Algorithm
75%
Knowledge Discovery
25%
Solution and Solubility
25%
Strength
25%
Classification
25%
Accuracy
25%
Development
25%
Evolution
25%
Data Base
25%
Economics, Econometrics and Finance
Knowledge
100%
Acquisitions
50%
Scientific Modelling
25%
Labour
25%
Learning
25%
Bottleneck
25%
Psychology
Acquisition
50%
Methodology
25%
Novelty
25%
Evaluation
25%