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Introduction to Fuzziology

  • Vlad Dimitrov
Conference paper
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 81)

Abstract

In a broad sense, fuzziness is the opposite of precision. Everything that cannot be defined precisely (that is, according to some broadly accepted criteria or norms of precision) and everything that has no clearly described boundaries in space or time is considered a bearer of fuzziness. In a narrow sense, fuzziness relates to the definition of fuzzy sets [1] as proposed by Zadeh in 1965: sets, the belongingness to which is measured by a membership function whose values are between 1 (full belongingness) and 0 (non-belongingness).

Keywords

Fuzzy Logic Social Complexity Impossibility Theorem Adaptive Resonance Theory Human Creativity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Zadeh, L. (1965) Fuzzy Sets, Information and Control, 8, 1965, pp. 338–359MathSciNetMATHCrossRefGoogle Scholar
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    Zadeh, L. (1973) A New Approach to the Analysis of Complex Systems, IEEE Trans. Syst., Man, Cybern., SMC-3, 1Google Scholar
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    Lehar, S. (1999) Harmonic Resonance Theory: an Alternative to the “Neuron Doctrine”, http://cns-alumni.bu.edu/pub/slehar/webstuff/hr/hr.html
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    The Global Consciousness Project: Consciousness Resonance, website http://noosphere.princeton.edukesonance.html.
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    Allen, J., Nelson, M. (1986) Space Biopheres,Synergestic Press, London http://www.columbia.edu/.alt12Bio/vernadsky.html
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    Judith, A. Pierre Teilhard de Chardin, website at http://www.hauntedbookstore.com/teilhard.htm
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    Introduction to the Global Consciousness Project, website at http://noosphere.princeton.edu/gcpintro.html

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Vlad Dimitrov
    • 1
  1. 1.University of Western SydneyRichmondAustralia

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