Abstract
No one knows where the future lies, and the idea of serendipity in science is now raised to something of a tropism. This does not impede our will to predict, if not the exact events, at least the short–term trends in the disciplines we live and breathe, and to point at the (subjective) glaring chances for a bright future. This volume is a clear example of the need that any living scientific discipline has for constant regrouping and redirection, in a never–ending process of consolidating results and finding new paths. In this contribution we will try and focus on a number of areas of fuzzy logic and, by extension, in the whole word of uncertainty, where (in our opinion) a number of interesting future developments can and will happen. While our comments and ideas about the technical aspects of the evolution hereby forecasted are proper to the realm of Fuzziness and much dependent on our previous work and experience in the field, the knowledge we have amassed and our personal preferences and quirks, the general remarks of a more epistemological nature interspersed and concluding this paper should and could be applied, in our view, to the development of any scientific endeavour.
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Notes
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Again in [16], Rosch explicitly states “Mathematical models as such have a poor track record in psychology.” We concur, but the explanation given—“[...]models do not seem to have the appropriate level of abstraction (not too much, not too little) or the connection to psychological reality that is generative of new knowledge in the field”— is a possible one amongst many, a set which includes other possibilities related more to the social aspects of doing science.
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Tabacchi, M.E., Termini, S. (2015). Future Is Where Concepts, Theories and Applications Meet (also in Fuzzy Logic). In: Seising, R., Trillas, E., Kacprzyk, J. (eds) Towards the Future of Fuzzy Logic. Studies in Fuzziness and Soft Computing, vol 325. Springer, Cham. https://doi.org/10.1007/978-3-319-18750-1_15
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