Fuzzy Logic pp 27-44 | Cite as

Why Does Fuzzy Logic Need the Challenge of Social Complexity?

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


In 2000, just before the start of the third millennium, Fuzzy Logic reached its 35th year. It is a good time to take stock of what it has achieved up till now, and what lines it should seek to follow for the future. Fuzzy Logic emerged in Zadeh’s famous article [1] as a proposal to use logic closer to the ways of thinking inherent in human languages and perceptions, in order to understand and deal with the complexity and uncertainty of the life unfolding. We believe that the field of complex phenomena in which that human capacity for making sense of uncertainty evolved should continue to be used as a real-life laboratory for developing a comprehensive theory of the fuzziness of human knowing.


Fuzzy Logic Illegal Immigrant Social Complexity Group Choice Oxford English Dictionary 
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  1. 1.
    Zadeh, L. (1965) Fuzzy Sets, Information and Control vol. 8, JuneGoogle Scholar
  2. 2.
    Dimitrov, V. and Wechler, W. (1975) Optimal Fuzzy Control of Humanistic Systems, Proc. 6th World Congress of IFAC, Boston, pp. 41. 4 (1–4)Google Scholar
  3. 3.
    Dimitrov, V. (1976) Social Choice and Self-Organisation under Fuzzy Management, Kybernetes, 6, pp. 153–156MathSciNetCrossRefGoogle Scholar
  4. 4.
    Smithson, M. (1987) Fuzzy Set Analysis for the Behavioral and Social Sciences, Springer-Verlag, New YorkCrossRefGoogle Scholar
  5. 5.
    Bellman, R. and Zadeh, L. (1970) Decision-making in a Fuzzy Environment, Management Science, vol. 17, pp. 141–164MathSciNetCrossRefGoogle Scholar
  6. 6.
    Barney, P., Dimitrov, V. and Stanchev, P. (1974) Fuzzy System Approach to Decision-Making, Proc. IFAC Stochastic Control Symposium, Budapest, pp. 637–642Google Scholar
  7. 7.
    Dimitrov, V. (2001) Introduction to Fuzziology, in Fuzzy Logic: A Paradigm for the New Millennium, Eds. V. Dimitrov and V. Korotkich, Heidelberg-New York (
  8. 8.
    Dimitrov, V., Hodge, B. and Woog, R. (2001) Fuzziology and Social Complexity, in Advances in Fuzzy Systems and Evolutionary Computation, Ed. N. Mastorakis, World Scientific Engineering Society Press: New York, Athens, pp. 88–93Google Scholar
  9. 9.
    Dimitrov, V. and Stewart, B. (2001) Social Fuzziology in Action: Acquisition and Making Sense of Social Information, in Soft computing in measurement and information acquisition, Eds. L. Reznik and V. Kreinovich, Physica-Verlag, Heidelberg-New YorkGoogle Scholar
  10. 10.
    Bourdieu, P 1998 The essence of neoliberalism, Le Monde Diplomatique, December Google Scholar
  11. 11.
    Dufour, D-R. (2001) Man’s new estate: the individual in disarray. Le Monde Diplomatique February. Google Scholar
  12. 12.
    Arrow, K. (1970) Social choice and individual values Yale University PressGoogle Scholar
  13. 13.
    Dimitrov V. (1983) Group choice under fuzzy information Fuzzy Sets and Systems 9: 25–39.MathSciNetMATHCrossRefGoogle Scholar
  14. 14.
    Arthur, W. (1993) Pandora’s Marketplace New Scientist Supplement on Complexity, 6 February, p. 7Google Scholar
  15. 15.
    Greene, B. (1999) The Elegant Universe: Superstrings, Hidden Dimensions, and the Quest for the Ultimate Theory, W.W. Norton & Company. New YorkGoogle Scholar
  16. 16.
    Dimitrov, V. and Wilson, S. Fuzziology and Lifelong Learning, in Fuzzy Logic: A Paradigm for the New Millennium,Eds. V. Dimitrov and V. Korotkich, Heidelberg-New YorkGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

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

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