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Increased predictive value of parameters by fuzzy logic-based multiparameter analysis.

Authors
  • Peltri, Gregor
  • Bitterlich, Norman
Type
Published Article
Journal
Cytometry. Part B, Clinical cytometry
Publication Date
May 01, 2003
Volume
53
Issue
1
Pages
75–77
Identifiers
PMID: 12717695
Source
Medline
License
Unknown

Abstract

Fuzzy techniques can increase the discriminating power of classical statistical tools. In addition, results obtained by fuzzy analysis are highly interpretable. A combination of the CLASSIF1 algorithm for the identification of the most relevant parameters, followed by fuzzy analysis, represents a powerful tool for the handling of large amounts of multiparameter data.

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