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
Zadeh, L. (1965) Fuzzy Sets, Information and Control vol. 8, June
Dimitrov, V. and Wechler, W. (1975) Optimal Fuzzy Control of Humanistic Systems, Proc. 6th World Congress of IFAC, Boston, pp. 41. 4 (1–4)
Dimitrov, V. (1976) Social Choice and Self-Organisation under Fuzzy Management, Kybernetes, 6, pp. 153–156
Smithson, M. (1987) Fuzzy Set Analysis for the Behavioral and Social Sciences, Springer-Verlag, New York
Bellman, R. and Zadeh, L. (1970) Decision-making in a Fuzzy Environment, Management Science, vol. 17, pp. 141–164
Barney, P., Dimitrov, V. and Stanchev, P. (1974) Fuzzy System Approach to Decision-Making, Proc. IFAC Stochastic Control Symposium, Budapest, pp. 637–642
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)
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
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
Bourdieu, P 1998 The essence of neoliberalism, Le Monde Diplomatique, December http://www.monde-diplomatique.fr/en/1998/12/08bourdieu
Dufour, D-R. (2001) Man’s new estate: the individual in disarray. Le Monde Diplomatique February. http://www.monde-diplomatique.fr/en/2001/02/
Arrow, K. (1970) Social choice and individual values Yale University Press
Dimitrov V. (1983) Group choice under fuzzy information Fuzzy Sets and Systems 9: 25–39.
Arthur, W. (1993) Pandora’s Marketplace New Scientist Supplement on Complexity, 6 February, p. 7
Greene, B. (1999) The Elegant Universe: Superstrings, Hidden Dimensions, and the Quest for the Ultimate Theory, W.W. Norton & Company. New York
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
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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
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