Abstract
Lotfi Zadeh, in discussing the future directions the discipline should have taken, has insisted in highlighting what he called ‘the Fuzzy Logic Gambit’ , whose basic idea is that, when dealing with the solution of a problem through the use of Fuzzy Logic, two different type of precisions exist: “precision in value”, which is connected to the ability of measuring reality, and “precision in meaning”, which is what we want to attain when dealing with the real world.
While the final goal of Fuzzy Logic is to provide some degree of precision to what is less precise in nature, he has brilliantly suggested that this can be obtained by bartering between precision in value and precision in meaning.
The thesis we present (and argue in favor of) here is that this idea can be seen as a sort of paradigm of many proposals that Zadeh advanced along many decades of research, and that this simple observation lurks in many of the realizations that Fuzzy Logic has developed after becoming mainstream
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References
Zadeh, L.A.: Is there a need for fuzzy logic? Inf. Sci. 178, 2751–2779 (2008)
Bêlohlávek, R., Dauben, J.W., Klir, G.J.: Fuzzy Logic and Mathematics: A Historical Perspective. Oxford Press, Oxford (2018)
Zadeh, L.A.: Foreword. In: Trillas, E., Bonissone, P.P., Magdalena, L., Kacprzyk, J. (eds.) Combining Experimentation and Theory: A Homage to Abe Mamdani. Studies in Fuzziness and Soft Computing, vol. 271. Springer, Heidelberg (2012)
Tabacchi, M.E., Termini, S.: Back to “reasoning”. In: Ferraro, M.B., et al. (eds.) Soft Methods for Data Science. AISC, vol. 456, pp. 471–478. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-42972-4_58
Zadeh, L.A.: Fuzzy Logic = Computing with Words. IEEE Trans. Fuzzy Syst. 4(2), 103–111 (1996)
Zadeh, L.A.: Computing with Words. Studies in Fuzziness and Soft Computing, vol. 277. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-27473-2
Zadeh, L.A.: Fuzzy languages and their relation to human and machine intelligence, man and computer. In: Proceedings of the International Conference, Bourdeaux (1970)
Blair, B.: Interview with Lotfi Zadeh, creator of fuzzy logic. Azerbaijan Int. 2–4, 46–57 (1994)
Zadeh, L.A.: Foreword. Appl. Soft Comput. 1(1), 1–2 (2001)
Zadeh, L.A.: From computing with numbers to computing with words–from manipulation of measurements to manipulation of perceptions. Int. J. Appl. Math. Comput. Sci. 12, 307–324 (2002)
Calude, A.: Does big data equal big problems? (2018). https://blogs.crikey.com.au/fullysic/2015/11/13/does-big-data-equal-big-problems/
Calude, C., Longo, G.: The deluge of spurious correlations in big data. In: Foundations of Science, pp. 1–18, March 2016
Vigen, T.: Spurious Correlations. Hachette Books, New York (2015)
Bellotti, R.: https://www.eticaeconomia.it/propaganda-e-manipolazione-nelle-elezioni-politiche-il-ruolo-dei-social-network-e-degli-algoritmi-basati-sulla-intelligenza-artificiale/ (2018)
Carneiro, R.L.: The transition from quantity to quality: a neglected causal mechanism in accounting for social evolution. PNAS 97(23), 12926–12931 (2000)
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Tabacchi, M.E., Termini, S. (2019). The Fuzzy Logic Gambit as a Paradigm of Lotfi’s Proposals. In: Fullér, R., Giove, S., Masulli, F. (eds) Fuzzy Logic and Applications. WILF 2018. Lecture Notes in Computer Science(), vol 11291. Springer, Cham. https://doi.org/10.1007/978-3-030-12544-8_18
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