Fuzzification Using Space-Filling Curves

M. Elshafei*, M. S. Ahmed

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper introduces the Hilbert Space-Filling Curves SFC and outlines algorithms, which demonstrate the SFC efficient self-organizing features. We then propose a SFC fuzzy model based on clustering the object space. The SFC fuzzy model is utilized to construct a fuzzy feedback controller. It is shown that the self-replicating feature of SFC can be utilized to construct successively improving control strategies based on symmetric decision trees. The proposed SFC technique achieves a dramatic reduction in the complexity of fuzzy controllers by reducing the multi-dimensional fuzzification problem to aone-dimensional space.

Original languageEnglish
Pages (from-to)145-157
Number of pages13
JournalIntelligent Automation and Soft Computing
Volume7
Issue number2
DOIs
StatePublished - 1 Jan 2001
Externally publishedYes

Keywords

  • Artificial Intelligence
  • Fuzzy Control
  • Fuzzy Logic
  • Nonlinear systems
  • Space-filling curves
  • Vector Quantization

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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