Abstract
This chapter presents the ways of incorporating the parameter fuzzy inflation to the engineering economy analyses. Inflation is a financial parameter difficult to estimate. The fuzzy set theory gives us the possibility of converting linguistic expressions about inflation estimates to numerical values. In the chapter, discounted cash flow techniques including these fuzzy expressions and some numerical examples are given. The obtained results show the interval of the worst and the best possible outcomes when fuzzy inflation rates are taken into account.
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Kahraman, C., Demirel, T., Demirel, N. (2008). Effects of Inflation under Fuzziness and Some Applications. In: Kahraman, C. (eds) Fuzzy Engineering Economics with Applications. Studies in Fuzziness and Soft Computing, vol 233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70810-0_11
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DOI: https://doi.org/10.1007/978-3-540-70810-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70809-4
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