Accuracy vs. interpretability of fuzzy rule-based classifiers: An evolutionary approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7269 LNCS, Issue , 2012, Pages 222-230

  Gorzałczany, Marian B ^a   Rudziński, Filip ^a  

^a KIELCE UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATA; COMPARATIVE ANALYSIS; EVOLUTIONARY APPROACH; FUZZY CLASSIFICATION RULE; FUZZY RULE-BASED CLASSIFIER; FUZZY RULE-BASED SYSTEMS; INTERPRETABILITY; PITTSBURGH APPROACH; RULE-BASED CLASSIFICATION;

ARTIFICIAL INTELLIGENCE; BENCHMARKING; EVOLUTIONARY ALGORITHMS; SOFT COMPUTING;

FUZZY RULES;

EID: 84860650444     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29353-5_26     Document Type: Conference Paper

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