HILK++: An interpretability-guided fuzzy modeling methodology for learning readable and comprehensible fuzzy rule-based classifiers

Soft Computing

Volumn 15, Issue 10, 2011, Pages 1959-1980

  Alonso, J M ^a   Magdalena, Luis ^a  

^a EUROPEAN CENTRE FOR SOFT COMPUTING   (Spain)

Author keywords

Classification; Fuzzy modeling; Interpretability; Simplification; Tuning

Indexed keywords

AUTOMATICALLY GENERATED; BENCHMARK CLASSIFICATION; DATA DISTRIBUTION; EXPERIMENTAL DATA; FUZZY MODELING; FUZZY PARTITION; FUZZY RULE-BASED CLASSIFIER; INTERPRETABILITY; LINGUISTIC KNOWLEDGE; LINGUISTIC RULES; LINGUISTIC VARIABLE; LOSS OF ACCURACY; SEARCH STRATEGIES; SET OF RULES; SIMPLIFICATION; SPECIFIC PROBLEMS; SYSTEM ACCURACY; SYSTEM BEHAVIORS; SYSTEM DESCRIPTION; TWO-POINT;

CLASSIFICATION (OF INFORMATION); DECISION TREES; FEATURE EXTRACTION; FUZZY RULES; KNOWLEDGE BASED SYSTEMS; LINGUISTICS;

FUZZY NEURAL NETWORKS;

EID: 80052682762     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-010-0628-5     Document Type: Article

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