Fuzzy systems in biomedical science

Z. P. Luo, K. N. An

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The most attractive feature of the fuzzy theory to biological science researchers is the simplicity of fuzzy mathematical expression, which is extremely useful for reasoning the problem and for controlling the process in biological areas where precise mathematical models can hardly be developed. In this review, recent progress of fuzzy theory in biomedical science is illustrated in four areas: device control, biological control, classification and pattern recognition, and prediction and association.

Original languageEnglish (US)
Pages (from-to)209-217
Number of pages9
JournalInternational Journal of General Systems
Volume30
Issue number2
StatePublished - 2001

Fingerprint

Fuzzy Theory
Fuzzy systems
Fuzzy Systems
Biological Control
Pattern Recognition
Pattern recognition
Simplicity
Reasoning
Mathematical Model
Mathematical models
Prediction
Review

Keywords

  • Biological control
  • Biomedical applications
  • Device control
  • Fuzzy systems
  • Pattern recognition
  • Prediction

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Luo, Z. P., & An, K. N. (2001). Fuzzy systems in biomedical science. International Journal of General Systems, 30(2), 209-217.

Fuzzy systems in biomedical science. / Luo, Z. P.; An, K. N.

In: International Journal of General Systems, Vol. 30, No. 2, 2001, p. 209-217.

Research output: Contribution to journalArticle

Luo, ZP & An, KN 2001, 'Fuzzy systems in biomedical science', International Journal of General Systems, vol. 30, no. 2, pp. 209-217.
Luo, Z. P. ; An, K. N. / Fuzzy systems in biomedical science. In: International Journal of General Systems. 2001 ; Vol. 30, No. 2. pp. 209-217.
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