Abstract
The work we have presented comprises an attempt to homogeneously gather together a set of techniques that are capable of explaining and treating the problem of investment, when the investor is face by a world governed by uncertainty. Throughout the pages of our work we have gradually introduced theoretical elements, available at this time, relative to numerical and non-numerical mathematics that we feel are capable of formalising uncertain systems in the best possible way. But all this would not have been possible without the support of traditional devices based on determinism and probability. On many occasions we have presented the classical model most commonly accepted by the research community, as a prior step to its transformation to the sphere of uncertainty. In this way, the comparison between both schemes has allowed us to reach the double objective of, on the one hand, facilitating comprehension and, on the other, permitting entry into the new formal world without excessive complications.
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© 1999 Springer Science+Business Media Dordrecht
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Gil-Aluja, J. (1999). Conclusions. In: Investment in Uncertainty. Applied Optimization, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5328-7_19
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DOI: https://doi.org/10.1007/978-94-011-5328-7_19
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6239-8
Online ISBN: 978-94-011-5328-7
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