An analysis of potentially imprecise class labels using a fuzzy similarity measure

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2008, Pages 667-672

  Pizzi, Nick J ^a,b   Pedrycz, Witold ^c,d  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^b UNIVERSITY OF MANITOBA   (Canada)

^c UNIVERSITY OF ALBERTA   (Canada)

^d Department of Computational Intelligence ^*

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; FUZZY LOGIC; FUZZY SETS; FUZZY SYSTEMS; LABELS; SET THEORY;

BIOMEDICAL DATUMS; CLASS LABELS; DATA SETS; EXTERNAL-; FUZZY SET THEORIES; FUZZY SIMILARITY MEASURES; SIMILARITY MEASURES; VALIDATION SETS;

LEARNING SYSTEMS;

EID: 55249083326     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2008.4630441     Document Type: Conference Paper

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