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Application of fuzzy-logic in an automatic sorting process
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Source Symposium on Applied Computing archive
Proceedings of the 1994 ACM symposium on Applied computing table of contents
Phoenix, Arizona, United States
Pages: 131 - 135  
Year of Publication: 1994
ISBN:0-89791-647-6
Authors
D. Zühlke  Institute for Production Automation, University of Kaiserslautem, Germany
M. Lauzi  Institute for Production Automation, University of Kaiserslautem, Germany
Sponsors
SIGAPL: ACM Special Interest Group on APL Programming Language
SIGCUE: ACM Special Interest Group on Computer Uses In Education
SIGICE: ACM Special Interest Group on Individual Computing Environment
SIGAPP: ACM Special Interest Group on Applied Computing
SIGBIO: ACM Special Interest Group on Biomedical Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 32,   Citation Count: 0
Additional Information:

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Zimmermann, H. J.: Fuzzy-Set Theo~ and Its Applications, 2rid ed., Kluwer&N~jhoff, Boston, Dordrecht, 1991
 
2
Gupta, $aridis, Gaines: Fuzzy Automata And Decision Processes, North Holland, 1977
 
3
T. Kohonen, Self-organization and associative memory: 3rd edition, Springer-Verlag New York, Inc., New York, NY, 1989
 
4
Schriifer, E.: Elektrische MeBtechnik, 3. Aufi., Hanser-Verlag, Miinchen, Wien
 
5
Ziihlke, D., Lauzi, M.: Inductive Pattern-Re cognition using Fuzzy-Logic, published in: Proceedings toEUFIT-Congress Aachen, Vol. 1, Germany, 1993

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.3 Deduction and Theorem Proving
          Subjects: Uncertainty, "fuzzy," and probabilistic reasoning

Additional Classification:
  F. Theory of Computation
  F.2 ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY
      F.2.2 Nonnumerical Algorithms and Problems
          Subjects: Sorting and searching

  G. Mathematics of Computing
  G.2 DISCRETE MATHEMATICS

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.6 Learning
          Subjects: Connectionism and neural nets
  I.4 IMAGE PROCESSING AND COMPUTER VISION
  I.5 PATTERN RECOGNITION
      I.5.2 Design Methodology
          Subjects: Pattern analysis


General Terms:
Design, Measurement, Performance, Theory


Keywords:
fuzzy-hardware, inductive measurement, learning-vector quantization, pattern recognition

Collaborative Colleagues:
D. Zühlke: colleagues
M. Lauzi: colleagues

Peer to Peer - Readers of this Article have also read:

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