Fuzzy rule based classification systems versus crisp robust learners trained in presence of class noise's effects: A case of study

International Conference on Intelligent Systems Design and Applications, ISDA

Volumn , Issue , 2011, Pages 1229-1234

  Sáez, José A ^a   Luengo, Julián ^a   Herrera, Francisco ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Class Noise; Classification; Fuzzy Rule Based Systems; Noisy Data; Robust Learners

Indexed keywords

C4.5 ALGORITHM; CLASS LABELS; CLASS NOISE; CONSTRUCTION TIME; DATA SETS; FUZZY RULE BASED CLASSIFICATION SYSTEMS; IMPERFECT DATA; INTERPRETABILITY; NOISY DATA; ROBUST LEARNERS; RULE INDUCTION ALGORITHMS; TRAINING SETS;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FUZZY RULES; INTELLIGENT SYSTEMS; SYSTEMS ANALYSIS;

LEARNING SYSTEMS;

EID: 84857578076     PISSN: 21647143     EISSN: 21647151     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2011.6121827     Document Type: Conference Paper

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