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Why Does Fuzzy Logic Need the Challenge of Social Complexity?

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Fuzzy Logic

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 81))

Abstract

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.

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References

  1. Zadeh, L. (1965) Fuzzy Sets, Information and Control vol. 8, June

    Google Scholar 

  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. Dimitrov, V. (1976) Social Choice and Self-Organisation under Fuzzy Management, Kybernetes, 6, pp. 153–156

    Article  MathSciNet  Google Scholar 

  4. Smithson, M. (1987) Fuzzy Set Analysis for the Behavioral and Social Sciences, Springer-Verlag, New York

    Book  Google Scholar 

  5. Bellman, R. and Zadeh, L. (1970) Decision-making in a Fuzzy Environment, Management Science, vol. 17, pp. 141–164

    Article  MathSciNet  Google Scholar 

  6. Barney, P., Dimitrov, V. and Stanchev, P. (1974) Fuzzy System Approach to Decision-Making, Proc. IFAC Stochastic Control Symposium, Budapest, pp. 637–642

    Google Scholar 

  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 (http://www.uws.edu.au/vip/dimitrov/study-of-fuzziness.htm)

  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. 88–93

    Google Scholar 

  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 York

    Google Scholar 

  10. Bourdieu, P 1998 The essence of neoliberalism, Le Monde Diplomatique, December http://www.monde-diplomatique.fr/en/1998/12/08bourdieu

    Google Scholar 

  11. Dufour, D-R. (2001) Man’s new estate: the individual in disarray. Le Monde Diplomatique February. http://www.monde-diplomatique.fr/en/2001/02/

    Google Scholar 

  12. Arrow, K. (1970) Social choice and individual values Yale University Press

    Google Scholar 

  13. Dimitrov V. (1983) Group choice under fuzzy information Fuzzy Sets and Systems 9: 25–39.

    Article  MathSciNet  MATH  Google Scholar 

  14. Arthur, W. (1993) Pandora’s Marketplace New Scientist Supplement on Complexity, 6 February, p. 7

    Google Scholar 

  15. Greene, B. (1999) The Elegant Universe: Superstrings, Hidden Dimensions, and the Quest for the Ultimate Theory, W.W. Norton & Company. New York

    Google Scholar 

  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 York

    Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Dimitrov, V., Hodge, B. (2002). Why Does Fuzzy Logic Need the Challenge of Social Complexity?. In: Dimitrov, V., Korotkich, V. (eds) Fuzzy Logic. Studies in Fuzziness and Soft Computing, vol 81. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1806-2_3

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  • DOI: https://doi.org/10.1007/978-3-7908-1806-2_3

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2496-4

  • Online ISBN: 978-3-7908-1806-2

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